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VISION-LIST Digest 1990 03 06

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VISION LIST Digest
 · 10 months ago

Vision-List Digest	Tue Mar 06 11:23:01 PDT 90 

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Today's Topics:

SPIE Robots and Vision Conference
RasterOps Image Formats
references on parallel computers for computer vision: summary (long)

----------------------------------------------------------------------

Date: Thu, 1 Mar 90 14:49:03 EST
From: Matthew Turk <turk%picadilly.media.mit.edu@media-lab.media.mit.edu>
Subject: SPIE Robots and Vision Conference

** Announcement and Call for Papers **

Intelligent Robots and Computer Vision IX:
Algorithms and Techniques

Part of SPIE's Advances in Intelligent Systems
November 4-9, 1990
Hynes Convention Center
Boston, Massachusetts USA

Chairman: David Casasent
Carnegie Mellon University
Co-Chairman: Ernie Hall
University of Cincinnati

This year's conference will focus on new algorithms and techniques for
intelligent robots and computer vision. Papers are solicited
specifically for the following session topics:

- pattern recognition and image processing
- image understanding and scene analysis
- color vision, multi-sensor processing
- 3-D vision: modeling and representation
- neural networks, artificial intelligence, model-based processors
- fuzzy logic in intelligent systems and computer vision
- biological basis for the design of sensors in computer vision
- intelligent manipulators

Abstract Due Date: March 19, 1990
Manuscript Due Date: October 8, 1990

Information:
SPIE Technical Program Committee/OE/Boston '90
P.O. Box 10
Bellingham, WA 98227-0010
USA

Or e-mail to:
turk@media-lab.media.mit.edu

------------------------------

Date: 2 Mar 90 10:10 +0100
From: YUHUA LUO <dmilyu0@PS.UIB.ES>
Subject: RasterOps Image Formats

We have a Macintosh RasterOps to capture and display images. We like
to convert the image format from it to Sun's. It uses two different
formats of image : PICT and TIFF. Does anyone know the format of these
two or where to get the information about them ?

My e-mail address: dmilyu0@ps.uib.es

Thank you in advance !

[ Please post the answer to the Vision List. A PICT/TIFF to Sun Rasterfile
conversion, as well as PICT/TIFF to CVL image format, SRI image format,
etc. is also very valuable. Also, please post any other image conversion
programs that you may know of. A lot of people can benefit from this.
phil... ]


------------------------------

Date: Fri, 2 Mar 90 10:50:32 MEZ
From: Stefan Posch <posch@informatik.uni-erlangen.de>
Subject: references on parallel computers for computer vision: summary (long)

Some months ago I asked for references on parallel computers for computer
vision. Thanks very much to all who answered.

Meanwhile I had time to collect all the received references and of course
addid mine. Since I got quite encouraging votes to summarize,
here is the result. I post the list in refer format, hoping that's convinient
for most of you. Sometimes I added keywords which might be useful to some
extent. Articles contained in books or collections are sometimes listet
seperatly sometimes not, reflecting somewhat my needs. Beside references
regarding parallel computer vision, I also recorded some references concerning
parallel computing. The selection is more or less arbitray and naturally far
from being complete (as the whole list).

I hope this list may be helpful to some of you.


Stefan Posch
Universitaet Erlangen-Nuernberg
Lehrstuhl 5 (Mustererkennung)
8520 Erlangen
West-Germany

RFC822: posch@informatik.uni-erlangen.de
UUCP: {pyramid,unido}!fauern!posch
X.400: <S=posch;OU=informatik;P=uni-erlangen;A=dbp;C=de>

# ----------------------------------
# cut here

%D 1988
%E Babb, Robert G. II
%I Addison-Wesley
%K multiprocessors, parallel algorithms
%T Programming Parallel Processors

%C New York
%D 1988
%E Brown, Christopher
%I Hillsdale
%K computer vision
%T Advances in computer vision

%C Berline
%D 1986
%E Cantoni, V. ; Levialdi, S.
%I Springer
%K multiprocessors, pyramid, vision, image processing
%T Pyramidal Systems for Computer Vision

%D 1989
%E Dew, Peter
%I Addison-Wesley
%K multiprocessors, computer vision, graphics
%T Parallel Processing for Computer Vision and Display

%C London
%D 1986
%E Duff, M. J. B.
%I Academic Press
%T Intermediate Level Image Processing

%C London
%D 1983
%E Duff, M. J. B.
%I Academic Press
%K parallel
%T Computing Structures for Image Processing

%D 1986
%E Duff, M.J.B. ; Fountain, T.J.
%I Academic Press
%P 174-207
%T Cellular Logic Image Processing

%C New York
%D 1988
%E Freeman, Herbert
%I Academic Press
%K multiprocessors, image processing, vision
%T Machine Vision. Algorithms, Architectures, and Systems

%C Boca Raton
%D 1982
%E Fu, K.S. ; Ichikawa, T.
%I CRC Press
%K multiprocessors, architectures, image processing
%T Special Computer Architectures for Pattern Processing

%C Cambridge
%D 1987
%E Jamieson, L.H.
%I MIT Press
%K parallel algorithms
%T The characteristics of parallel algorithms

%C Letchworth
%D 1985
%E Kittler, J. ; Duff , M.J.B.
%I Research Studies Press
%K multiprocessors, image processing
%T Image Processing System Architectures

%C Boston
%D 1988
%E Kowalik, Janusz
%I Kluwer
%K multiprocesors, artificial intelligence
%T Parallel Computation and Computers for Artificial Intelligence

%C Orlando
%D 1988
%E Levialdi, S.
%I Academic Press
%K multiprocessors, image processing, vision, parallel algorithms, evaluation
%T Multicomputer Vision

%C London
%D 1985
%E Levialdi, S.
%I Academic Press
%T Integrated Technology for Parallel Image Processing

%C London
%D 1988
%E Page, Ian
%I Oxford Univ. Press
%T Parallel Architectures and Computer Vision

%C New York
%D 1982
%E Preston, K. ; Uhr, L.
%I Academic Press
%T Multicomputers and Image Processing

%C Berlin
%D 1984
%E Rosenfeld, A.
%I Springer-Verlag
%K image processing, vision, multi resolution, multiprocessors
%T Multiresolution Image Processing and Analysis

%C New York
%D 1985
%E Snyder, L. ; Jamieson, L. H. ; Gannon, D. B. ; Siegel, H. J.
%I Academic Press
%T Algorithmically Specialized Parallel Computers

%C New York
%D 1980
%E Tanimoto, S. L. ; Klinger, A.
%I Academic Press
%T Structured Computer Vision

%C Orlando
%D 1986
%E Uhr, L. ; Preston, K. ; Levialdi, S. ; Duff, M.J.B.
%I Academic Press
%T Evaluation of Multicomputers for Image Processing

%C Orlando
%D 1987
%E Uhr, Leonard
%I Academic Press
%K multiprocessors, pyramid, vision, image processing
%T Parallel Computer Vision

%A Abbott, L. ; Haralick, R.M. ; Zhuang, X.
%D 1988
%J Int. Journal Machine Vision and Applications
%P ????
%T Pipeline Architectures for Morphologic Image Analysis
%V 1

%A Allart, E. ; Zavidovique, B.
%D 1988
%J Proc. 9. Int. Conf. on Pattern Recognition (ICPR)
%P 830-832
%T Functional computer for low level image processing

%A Alnuweiri, H.M. ; Prasanna-Kumar , V.K.
%D 1988
%J Proceedings Computer Vision and Pattern Recognition (CVPR)
%P 931-936
%T Optimal Geometric Algorithms on Fixed-Size Linear Arrays and Scan Line
Arrays

%A Anderson, Judy ; et al
%D 1986
%K multiprocessors, FAIM, architecture
%R Tech. Report No. 61, Palo Alto Reserach
%T FAIM-1: The General Architecture

%A Annaratone, M. ; et al
%D June 1986
%J Proc. 13. Annual International Symposium on Computer Architecture
%K multiprocessors, systolic arrays, warp
%P 346-356
%T Warp Architecture and Implementation

%A Annaratone, Marco ; et al
%D 1987
%J National Computer Conference
%K multiprocessors, WARP, image processing
%P 151-158
%T Applications Experience on Warp

%A Annaratone, Marco ; et al
%D 1987
%J Trans. on Computers
%K multiprocessors, warp, architecture
%N 12
%P 1523-1538
%T The Warp Computer: Architecture, Implementation, and Performance
%V 36

%A Annaratone, Marco ; et al
%D 1987
%J Proc. of COMPCON
%K multiprocessors, warp, image processing
%P 272-275
%T Applications and Algorithm Partitioning on Warp

%A Antonsson, D. ; et al
%D 1982
%J IEEE Trans. on Computers
%N 11
%P 997-1000
%T PICAP - A System Approach to Image Processing
%V 31

%A Appiani, E. ; Barbagelata, G. ; Conterno, B. ; Manara, R.
%C St. Petersburg, Florida
%D 1985
%J Proc. SCS-85
%K multiprocessors, architecture, EMMA, image processing, signal processing
%P 310-319
%T EMMA-2, an Industry-Developed Hierarchical Multiprocessor for Very High
Performance Signal Processing Applications

%A Astrom, Anders ; Chen, Keping ; Danielsson, Per-Erik
%D submitted, 1990
%J Int. Conference on Application Specific Array Processors
%K multiprocessors, vision
%T PASIC. A Sensor/Processor Array for Computer Vision

%A Atallah, M.J.
%D 1988
%I IEEE
%J Trans. on Computers
%P 1306-1309
%T On Multidimensional Arrays of Processors
%V 37

%A Baille, C.
%D 1988
%J Parallel Computing
%K multiprocessors, shared memory, distributed memory
%P 101-110
%T Comparing Shared and Distributed Memory Computers
%V 8

%A Banerjee, K. ; Sastry, P.S. ; Ramakrishnan, K.R. ; Venlatesh , Y.V.
%C Amsterdam
%D 1988
%I North-Holland
%J Information Sciences
%P 19-50
%T An SIMD Machine for low-level Vision
%V 44

%A Batcher, B.
%D 1981
%J IEEE Trans. on Computers
%N 9
%P 836-840
%T Design of a Massively Parallel Processor
%V 29

%A Beffert, Helmut ; Shinghal , Rajjan
%D 1989
%J Int. Journal on Pattern Recognition and Artificial Intelligence
%K multiprocessor, skeletonization, MIMD, distributed memory
%N 2
%P 207-217
%T Skeletonizing Binary Patterns on the Homogeneous Multiprocessor
%V 3

%A Ben-Tzvi, D. ; Naqvi, A.A. ; Sandler , M.
%D 1989
%J Image and Vision Computing
%K multiprocessors, image processing, hough transform, distributed memory
%N 3
%P 167-172
%T Efficient Parallel Implementation of the Hough Transform on a Distributed
Memory System
%V 7

%A Bitz, F. ; Kung, H.T.
%D 1987
%J Proc. SPIE Advanced Algorithms and Architecture for Signal Processing II
%K multiprocessors, systolic array, warp, dynmiac programming
%P 215-222
%T Path Planning on the Warp Computer: Using a Linear Systolic Array in
Dynamic Programming

%A Bongiovanni, G. ; Cinque,Luigi ; Levialdi, Stefano ; Rosenfeld, Azriel
%B Multicomputer Vision
%C Orlando
%D 1988
%E Levialdi, S.
%I Academic Press
%K multiprocessors, parallel algorithms, pyramid, image processing, bimodality
%P 1-7
%T Bimodality Analysis Using Pyramids

%A Borkar, Shekhar ; et al
%D 1989
%K multiprocessors, iWARP
%R Tech. Report CMU-CS-89-104, Department of Computer Science, Carnegie Mellon
University
%T iWARP: An Integrated Solution to High-Speed Parallel Computing

%A Bruegge, B. ; et al
%D 1987
%J Proc. of COMPCON
%K multiprocessors, warp, programming
%P 268-271
%T Programming Warp

%A Bruegge, B. ; et al
%D 1987
%J National Computer Conference
%K multiprocessors, WARP, programming
%P 141-148
%T The Warp Programming Environment

%A Burt, P.J.
%D 1988
%J Proc. 9. Int. Conf. on Pattern Recognition (ICPR)
%P 977-987
%T Attention Mechanisms for Vision in a Dynamic World

%A Burt, Peter J.
%D 1988
%J Proceedings of the IEEE
%K vision
%N 8
%P 1006-1015
%T Smart Sensing within a Pyramid Vision Machine
%V 76

%A Burt, Peter J.
%B Machine Vision. Algorithms, Architectures, and Systems
%C New york
%D 1988
%E Freeman, Herbert
%I Academic Press
%K image processing, vision
%P 1-30
%T `Smart Sensing' in Machine Vision

%A Cantoni, Virginio ; Levaldi, Stefano
%D 1988
%J Proceedings of the IEEE
%K multiprocessors, image processing
%N 8
%P 959-969
%T Multiprocessor Computing for Images
%V 76

%A Carlson, D.A.
%D 1988
%I IEEE
%J Trans. on Computers
%P 1315-1321
%T Modified Mesh-Connected Parallel Computers
%V 37

%A Carrioli, L. ; Cunioli, S. ; Ferretti, M.
%B Multicomputer Vision
%C Orlando
%D 1988
%E Levialdi, S.
%I Academic Press
%K multiprocessors, parallel algorithms, MIMD, shared memory, data
partitioning evaluation, Sequent
%P 117-130
%T Image Processing Experiments on a Commercial MIMD System

%A Casavant, L. ; Dietz, Henry G. ; Sheu, Phillip C.Y. ; Siegel, Howard Jay
%D 1989
%J Proc. 4. Int. Conference on Supercomputing
%K multiprocessors, PARSE
%P 380-389
%T The Parse Approach to Programming Non-Shared Memory, Reconfigurable,
Parallel Computers

%A Chan, M.Y. ; Chin, F.Y.L.
%D 1988
%I IEEE
%J Trans. on Computers
%P 1285-1288
%T On Embedding Rectangular Grids in Hypercubes
%V 37

%A Chianese, A.; Cordella, L.P.; DeSanto, M.; Marcelli, A. ; Vento, M.
%D 1988
%J Proc. 9. Int. Conf. on Pattern Recognition (ICPR)
%P 724-726
%T A preliminary approach to the design and evaluation of a reconfigurable
architecture for computer vision

%A Chu, C. Henry ; et al
%D 1989
%J Journal of Parallel and Distributed Computing
%K multiprocessors, PASM, image understanding, vision, scheduling
%N 3
%P 598-622
%T A Model for an Intelligent Operating System for Executing Image
Understanding Tasks on a Reconfigurable Parallel Architecture
%V 6

%A Chu, H. ; Delp , E.J. ; Siegel, H.J
%D 1987
%J Int. Conference on Supercomputing
%K multiprocessors, PASM, image understanding, vision
%P 440-449
%T Image Understanding on a PASM: A User's Perspective

%A Cohn, Robert ; Gross, Thomas ; Lam, Monica ; Tseng, P.S.
%D 1989
%J Proc. 3. Int. Conference on Architectural Support for Programming Languages
and Operating Systems
%K multiprocessors, iWARP
%T Architecture and Compiler Tradeoffs for a Long Instruction Work
Microprocessors

%A Crother, W. ; et al
%D 1985
%J Int. Conference on Parallel Processing
%K multiprocessors, performance, butterfly
%P 531-540
%T Performance Measures on a 128-Node Butterfly Parallel Processor

%A Cypher, R.E. ; Sanz , J.L.C. ; Snyder, L.
%C Seattle
%D 1987
%J Proc. Workshop on Computer Architectures for Pattern Analysis and and
Machine Intelligence
%K multiprocessors, mesh, image processing, hough transform
%P ???
%T The Hough Transform has O(N) Complexity on SIMD N x N Mesh Array
Architectures

%A Danielsson, Per-Erik ; Linskog, Bj^orn ; Segerstr^om, Jan
%C Lisbon
%D 1988
%J Proc. Int. Specialist Seminar on the Design and Application of Parallel
Digital Processors
%K multiprocessors, SIMD, array, PICAP3
%T PICAP3. A Coarse-Grained Linear SIMD-Array

%A Davis, A.L. ; Robison, S.V.
%D 1985
%K multiprocessors, FAIM, architecture
%R Tech. Report No. 46, Palo Alto Reserach
%T The Architecture of the FAIM-1 Symbolic Multiprocessor System

%A Davis, L.S.
%C Hot Springs
%D 1980
%J Proc. Workshop on Computer Architectures for Pattern Analysis and Image
Database Management
%P 249-254
%T Computer Architectures for Image Processing

%A DeWitt, D.J. ; Finkel, R. ; Solomon, M.
%D 1984
%I University of Wisconsin, Computer Science Department
%K multicomputers, CRYSTAL
%R Technical Report
%T The CRYSTAL Multicomputer: Design and Implementation Experience

%A Drumheller, M.
%D 1986
%J Proc. AAAI
%P 748-753
%T Connection Machine Stereomatching

%A Drumheller, M. ; Poggio, T.
%D 1986
%I IEEE
%J Proc. Int. Conference on Robotics and Automation
%T On Parallel Stereo

%A Duclos, P. ; Boeri, F. ; Auguin, M. ; Giraudon, G.
%D 1988
%J Proc. 9. Int. Conf. on Pattern Recognition (ICPR)
%K parallel, simd, msimd, image processing, vision
%P 430-433
%T Image Processing on a SIMD/SPMD Architecture: OPSILA

%A Duff, M. J. B. ; Levialdi, S.
%D 1981
%I Academic Press
%K Image processing Languages
%T Languages and Architectures for Image Processing

%A Duin, Robert P. W. ; Jonker , Pieter P.
%B Multicomputer Vision
%C Orlando
%D 1988
%E Levialdi, S.
%I Academic Press
%K multiprocessors, image understanding, vision, associative
%P 152-169
%T Processor Arrays Compared to Pipelines for Cellular Image Operations

%A Duller, A.W.G. ; Thomson, A.R. ; Dagless, E.L.
%D 1989
%J Image and Vision Computing
%K multiprocessors, image processing, associative
%N 2
%P 151-158
%T An Associative Processor Array for Image Processing
%V 7

%A Feldmann, Jerome A. ; Fanty, Mark A. ; Goddard, Nigel H.
%D 1988
%J Computer
%K multiprocessors, neuronal nets
%N 3
%P 91-103
%T Computing with Structured Neural Networks
%V 21 Simulator mit Graphik-Interface Anwendungen: Necker Cube, tinker toy,
Geschmacks-Abfrage, Objekterkennung

%A Fineberg, Samuel A. ; Casavant, Thomas L. ; Siegel, Howard Jay
%D 1989
%K multiprocessors, MIMD, SIMD, PASM
%R Tech. Report TR-EE 88-55, School of Electrical Engineering, Purdue
Univeristy
%T Experimanetal Evaluation of SIMD PE-Mask Generation and Hybrid Mode
Parallel Computing on Multi-Microprocessor Systems

%A Fisher, A.L. ; Highnam , P.T. ; Rockoff, T.E.
%D 1988
%J Proc. Image Understandig Workshop
%P 625-633
%T Scan Line Array Processor: Work in Progress

%A Flynn, Anita ; Harris, John
%D 1985
%J Proc. 11. Int. Joint Conference on Artificial Intelligence (IJCAI)
%K multiprocessors, simd, vision, image processing
%P 57-59
%T Recognition Algorithms for the Connection Machine

%A Flynn, M.
%D 1972
%I IEEE
%J Trans. Computers
%K multicomputers, architecture, evaluation
%P 948-960
%T Some Computer Organisations and theis Effectiveness
%V 21

%A Flynn, M.J. ; Hennessey , J.L.
%D 1980
%J IEEE Trans. on Computers
%N 12
%P 1080-1086
%T Parallelism and Representation Problems in Distributed Systems
%V 29

%A Fountain, T.J.
%D 1983
%J Pattern Recognition Letters
%K multiprocessors, image processing, CLIP7
%P 331-339
%T The Development of the CLIP7 Image Processing System
%V 1

%A Fountain, T.J.
%B Machine Vision. Algorithms, Architectures, and Systems
%C New york
%D 1988
%E Freeman, Herbert
%I Academic Press
%K image processing, vision
%P 31-56
%T Introducing Local Autonomy to Processor Arrays

%A Fountain, T.J.
%B Machine Vision. Algorithms, Architectures, and Systems
%C New york
%D 1988
%E Freeman, Herbert
%I Academic Press
%K multiprocessors, image processing, vision
%P 103-108
%T Machine Vision Architectures and Systems -- A Discussion

%A Fountain, T.J. ; Matthews, K.N. ; Duff, J.B.
%D 1988
%I IEEE
%J Trans. on Pattern Analysis and Machine Intelligence (PAMI)
%P 310-319
%T The CLIP7A Image Processor
%V 10

%A Fountain, Terry
%C Paris
%D 1986
%J Proc. 8. Int. Conf. on Pattern Recognition (ICPR)
%K multiprocessors, pyramid, linear array, hypercube, image processing, vision
%P 24-33
%T Array Architectures for Iconic and Symbolic Image Processing

%A Fountain, Terry
%C London
%D 1987
%I Academic Press
%K multiprocessors, processor array
%T Processor Arrays: Architecture and Applications

%A Fournier, A. ; Fussell, D.
%D 1988
%I ACM
%J Trans. on Graphics
%P 103-128
%T On the power of the frame buffer
%V 7

%A Francis, R. ; Mathieson, I.
%D 1988
%J Parallel Computing
%K multiprocessors, shared memeory
%P 165-175
%T Synchronised Execution on a Shared Memory Multiprocessor
%V 8

%A Frenkel , K.A.
%D 1986
%J Communications of the ACM
%K multiprocessors, evaluation
%N 8
%P 752-758
%T Evaluating two Massivly Parallel Machines
%V 29

%A Garda, P. ; Reichart, A. ; Rodriguez, F. ; Devos, F. ; Zavidovique, B.
%D 1988
%J Proc. 9. Int. Conf. on Pattern Recognition (ICPR)
%P 863-865
%T Yet another Mesh Array Smart Sensor?

%A Gemmar, P. ; Ischen, H. ; L^utjen, K
%B Languages and Architectures for Image Processing
%C London
%D 1981
%E Duff, M.J.B. ; Levialdi, S.
%I Academic Press
%P 245-256
%T FLIP: A Multiprocessor System for Image Processing

%A Genis, Carme Torras I
%D 1989
%J Int. Journal of Parallel and Distributed Programming
%K neuronal nets, relaxation
%N 2
%P 217-244
%T Relaxation and Neural Learning: Points of Convergence and Divergence
%V 6

%A Gottlieb, A.B. ; et al
%D 1983
%J Trans. Computers
%K multipocessors, ultra-computer
%P 175-189
%T The NYU Ultra-Computer -- Desiging an MIMD Shared Memory Parallel Computer
%V 32

%A Granlund, G.H.
%D 1978
%J Computer Graphics and Image Processing (CGIP)
%K multiprocessors, GOP, image processing
%P 155-173
%T In Search of a General Picture Processing Operator
%V 2

%A Granlund, G.H.
%C Kyoto
%D 1978
%J Proc. 4. Int. Conf. on Pattern Recognition (ICPR)
%K multiprocessors, GOP, image processing
%T An Architecture of a Picture Processor Using a Parallel General Operator

%A Granlund, G.H. ; Arvidsson, J.
%B Fundamentals in Computer Vision
%C Cambridge
%D 1983
%E Faugeras, O.D.
%I Cambridge University Press
%T The GOP Image Processing Operator

%A Gudmundsson, B.
%B Languages and Architectures for Image Processing
%C London
%D 1981
%E Duff, M.J.B. ; Levialdi, S.
%I Academic Press
%P 147-156
%T Overview of the high-level language for PICAP

%A Guerra, Concettina ; Levialdi, Stefano
%B Advances in Machine Vision
%C New York, Berlin
%D 1988
%E Sanz, Jorge L. C.
%I Springer-Verlag
%K multiprocessors, vision, parallel algorithms
%P 283-296
%T Computer Vision: Algorithms and Architecture

%A Guerra, Concettine ; Hambrusch, Susanne
%D 1989
%J Int. Journal of Parallel and Distributed Programming
%K multiprocessors, simd, mesh, image processing, hough-transform
%N 1
%P 1-19
%T Parallel Algorithms for Line Detection on a Mesh
%V 6

%A Gustafson, J.L. ; Hawkinson , S. ; Scott , K.
%D 1986
%J Proc. Int. Conference Parallel Processing
%K multicomputers, archicture, hypercube, FPS
%P 649-652
%T The Architecture of a Homogeneous Vector Supercomputer

%A H^andler, W.
%D 1977
%J Proc. of the Int. Conference on Parallel Processing
%P 7-15
%T The Impact of Classification Schemes on Computer Architecture

%A Hamey, Leonard G. C. ; Webb , Jon A. ; Wu , I-Chen
%D 1989
%J Computer Vision, Graphics and Image Processing (CVGIP)
%K image processing, vision language, multiprocessers
%N 2
%P 246-264
%T An Architecture Independent Programming Language for Low-Level Vision
%V 48

%A Harvey, W.; Kalp, D.; Tambe, M.; Mckeown, D.; Newell, A.
%C Pittsburgh.
%D March 1989,
%R Tech. Report CMU-CS-89-125, Carnegie Mellon University, School of Computer
Science,
%T Measuring the Effectiveness of Task-level Parallelism for High-level Vision

%A Hayes, J.P. ; Mudge, T.N. ; Stout , Q.F. ; Colley , S. ; Palmer , J.
%D 1986
%J Proc. Int. Conference Parallel Processing
%K multicomputers, archicture, hypercube, NCUBE
%P 653-660
%T Architecture of a Hypercube Supercomputer

%A Hillis, D.
%C Cambridge
%D 1985
%I The MIT Press
%T The Connection Machine

%A Holder, Derrick ; Buxton, Hilary
%D 1989
%J Image and Vision Computing
%K multiprocessors, image processing, vision, SIMD
%N 1
%P 71-78
%T Polyhedral Object Recognition with Sparse Data in SIMD Prcoessing Mode
%V 7

%A Honavar, V. ; Uhr, L.
%C San Mateo
%D 1989
%J Proc. 15. Int. Joint Conference on Artificial Intelligence (IJCAI)
%T Generation, local receptive fields and global convergence improve
perceptual learning in connectionist networks

%A Honavar, V. ; Uhr, L.
%D To Appear 1989
%J Connection Science
%T Brain-Structured Connectionist Networks That Perceive and Learn

%A Hopkins , S. ; Michaelson, G.J. ; Wallace, A.M.
%D 1989
%J Image and Vision Computing
%K multiprocessors, image processing, vision
%N 3
%P 178-193
%T Parallel Imperative and Functional Approaches to Visual Scene Labelling
%V 7

%A Hung, Yubin ; Rosenfeld, A.
%D 1989
%J Int. Journal of Parallel and Distributed Programming
%K multiprocessors, simd, mesh, image processing, quadtrees
%N 1
%P 1-22
%T Parallel Processing of Linear Quadtrees on a Mesh-Connected Computer
%V 7

%A Ibarra, O.H. ; Palis, M.A.
%D 1988
%J Theoretical Computer Science
%P 47-86
%T Two-dimensional Iterativ Arrays: Characterizations and Applications
%V 57

%A Ibrahim, H.A.H. ; Kender, J.R. ; Shaw, D.E.
%D 1986
%J Computer Vision, Graphics and Image Processing (CVGIP)
%K multiprocessors, parallel algorithms, image processing
%P 53-75
%T On the Application of Massivly Parallel SIMD Tree Machine to Certain
Intermediate-Level Vision Tasks
%V 36

%A J^apel, Dieter ; Maehle, Erik ; Wirl, Klaus
%C Berlin
%D 1985
%E Niemann, Heinrich
%I Springer Verlag
%J Proceedings 7. DAGM-Symposium
%K multiprocessors, mimd, DIRMU, vision, image processing
%P 185-190
%S Informatik Fachberichte 107
%T Einsatz des DIRMU-Multiprozessorsystems in der Mustererkennung

%A Jamieson, L.H. ; Mueller, P.T. ; Siegel, H.J.
%D 1986
%J Journal of Parallel and Distributed Processing
%K multiprocessors, parallel algorithms, SIMD, image processing, FFT
%N 1
%P 48-71
%T FFT Algorithms for SIMD Parallel Processing Systems
%V 3

%A Kashko, A. ; Buxton, H. ; Buxton, B.F. ; Castelow, D.A.
%D 1988
%J Parallel Computing
%K multiprocessors, image processing, DAP
%P 3-17
%T Parallel Matching and Reconstruction Algorithms in Computer Vision
%V 8

%A Krikelis, A. ; Lea, R.M.
%B Multicomputer Vision
%C Orlando
%D 1988
%E Levialdi, S.
%I Academic Press
%K multiprocessors, image understanding, vision, associative
%P 75-95
%T An Associative Approach to Computer Vision

%A Kruse, B. ; Gudmundsson, B. ; Antonsson, D.
%D 1980
%J Proc. 5. Int. Conf. on Pattern Recognition (ICPR)
%K multiprocessors, architecture, image processing, PICAP
%P 484-488
%T FIP: The PICAP II Filter Processor

%A Kuehn, James T. ; Fessler , Jeffrey A. ; Siegel , Howard Jay
%D 1985
%J Proc. Computer Vision and Pattern Recognition (CVPR)
%K multiprocessors, image processing, thinning, PASM
%P 368-374
%T Parallel Image Thinning and Vectorization on PASM

%A Kuehn, James T. ; Siegel , Howard Jay
%D 1985
%J Proc. Int. Conference on Parallel Processing
%K multiprocessors, languages, C, SIMD, MIMD
%P 232-235
%T Extenstions to the C Programming Language for SIMD/MIMD Parallelism

%A Kuehn, James T. ; Siegel , Howard Jay
%D 1984
%J Proc. 7. Int. Conf. on Pattern Recognition (ICPR)
%K multiprocessors, image processing, histogramm, PASM
%P 646-649
%T Simulation Studies of a Parallel Histogramming Algoithm for PASM

%A Kuehn, James T. ; Siegel , Howard Jay
%B Intermediate Level Image Processing
%C London
%D 1986
%E Duff, M. J. B.
%I Academic Press
%K multiprocessors, PASM
%P 209-229
%T Multifunction Processing with PASM

%A Kuehn, James T. ; Siegel , Howard Jay
%B Evaluation of Multicomputers for Image Processing
%C Orlando
%D 1986
%E Uhr, L. ; Preston, K. Jr. ; Levialdi, S. ; Duff, M.J.B.
%I Academic Press
%K multiprocessors, evaluation, image processing, SIMD, MIMD, PASM
%P 139-158
%T Simulation Based Performance Measuers for SIMD/MIMD/Processing

%A Kuehn, James T.; Siegel, Howard Jay; Tuomenoksa, David Lee; Adams, George
%B Integrated Technology for Parallel Image Processing
%C London
%D 1985
%E Levialdi, S.
%I Academic Press
%K multiprocessors, image processing, vision, PASM
%P 133-152
%T The Use and Design of PASM

%A Kung, H.T.
%D 1984
%J Proc. 7. Int. Conf. on Pattern Recognition (ICPR)
%K multiprocessors, pipeline, vision, image processing, systolic
%P 570-577
%T Systolic Algorithms for the CMU Warp Processor

%A Kung, H.T.
%D 1989
%E Seitz, Charles L.
%J Proc. of the Decennial Caltech Conference on VLSI
%K multiprocessors, iwarp, connection taxonomy
%P 49-66
%T Network-Based Multicomputers: Redefining High Performance Computing in the
1990s

%A Kung, H.T. ; Menzilcioglu, O.
%C Bellingham
%D 1987
%J Proc. SPIE Real-Time Signal Processing X
%K multiprocessors, processor array, fault-tolerant, warp
%P 37-44
%T A General Switch Architecture for Fault-tolerant VLSI Processor Arrays

%A Kung, H.T. ; Webb, J.A.
%D 1986
%J Disributed Computing
%K multiprocessors, systolic arrays, warp, image processing
%N 4
%P 246-257
%T Mapping Image Processing Operations onto a Linear Systolic Machine
%V 1

%A Lane, D.M. ; Chandler, M.J. ; Robertson, E.W. ; McFazdean, A.G.
%B Distributed Artificial Intelligence, Volume II
%C London
%D 1989
%E Gasser, L. ; Huhns, M.N.
%I Pitman/Morgan Kaufmann
%P 433-462
%T A Distributed Problem-Solving Architecture for Knowledge-Based Vision

%A Lau, A.S.K.
%D 1987
%K multiprocessors, architecure, CLIP7
%R Report No 87/6; Dept. of Physics and Astronomy, University College London
%T Overview of the CLIP7 Virtual Machine

%A Legendi, T. ; Katona, E. ; Toth, J ; Zsoter, A.
%D 1988
%J Parallel Computing
%P 195-199
%T Megacell Machine
%V 8

%A Levi, Paul ; Engel , M. ; Nitezki, P.
%D 1983
%I Institu f^ur Informatik III, Univ. Karlsruhe
%R Arbeitsbericht im Rahmen des GMD Projekts 08 IT 1045 6
%T Voruntersuchungen ^uber geeignete Rechnerarchitekturen f^ur die
Mustererkennung

%A Levialdi, S.
%D 1988
%J Proc. 9. Int. Conf. on Pattern Recognition (ICPR)
%P 1148-1158
%T Computer architectures for image analysis

%A Li, H. ; Maresca , M.
%C Chicago
%D 1987
%J Proc. Int. Conference on Parallel Processing
%K multiprocessors, polymorphic torus
%P ???
%T Polymorphic-Torus Network

%A Li, H. ; Maresca , M.
%C Seattle
%D 1987
%J Proc. Workshop on Computer Architectures for Pattern Analysis and and
Machine Intelligence
%K multiprocessors, polymorphic torus, image processing, vision
%P ???
%T Polymorphic-Torus: A New Architecture for Vision Computation

%A Li, Z. N. ; Uhr, L.
%D 1987
%J IEEE Transactions on Systems, Man, and Cybernetics
%P 250-263
%T Pyramid vision using key features to integrate image-driven bottom-up and
model-driven top-down processes
%V 17

%A Lim, Hong Seh ; Binford, Thomas
%C Los Angeles
%D 1987
%J Proc. Image Understandig Workshop
%K multiprocessors, vision, image processing
%P 644-654
%T Survey of Parallel Computers

%A Lindskog, Bj^orn
%D 1989
%K multiprocessors, SIMD, array, PICAP3
%R Report LiTH-ISY-I-0971, Department of Electrical Engineering, Link^oping
University
%T PICAP3. A Linear SIMD Array with Floating-Point Arithmetic

%A Lindskog, Bj^orn
%D 1988
%I Department of Electrical Engineering, Link^oping University
%K multiprocessors, picap3, image processing
%R Link^oping Studies in Scinece and Technology. Dissertations. No. 176
%T PICAP3. An SIMD Architecture for Multi-Dimensional Signal Processing

%A Little, J.J. ; Blelloch , G. ; Cass, T.
%D 1987
%J Proc. 1. Int. Conf. on Computer Vision
%K multiprocessors, connection machine, vision
%P 587-591
%T Parallel Algorithms for Computer Vision on the Connection Machine

%A Liu, W. ; Yeh, T. ; Batchelor, W. ; Cavin, R.
%C Hawaii
%D Dec. 1988
%J Proceedings of 15th Annual Symposium on Computer Architecture,
%P 167-174
%T Exploiting Bit Level Concurrency in Real-time Geometric Feature Extractions

%A Lougheed, R.M. ; McCubbrey, D.L.
%D 1985
%J Proc. Int. Conference Parallel Processing
%K multicomputers, archicture, cytocomputer, image processing
%P 493-497
%T Multiprocessor Architectures for Machine Vision and Image Analysis

%A Lougheed, R.M. ; McCubbrey, D.L.
%C La Baule
%D 1980
%J Proc. 7. Symposium on Computer Architecture
%K multicomputers, archicture, cytocomputer, image processing
%P 271-278
%T The Cytocomputer: A Practical Pipelined Image Processor

%A Lougheed, Robert M. ; McCubbrey, David ; Jain, Ramesh
%B Advances in Machine Vision
%C New York, Berlin
%D 1988
%E Sanz, Jorge L. C.
%I Springer-Verlag
%P 381-415
%T Applying Iconic Processing in Machine Vision

%A Mainescu,Dan C.; Lumpp,James E. Jr.; Casavant,Thomas L.; Siegel,Howard Jay
%D 1989
%J Proc. Int. Computer Software and Applications Conference
%K multiprocessors, debugging, PASM
%P 81-88
%T A Model for Monitoring and Debugging Parallel and Distributed Software

%A Manohar, M. ; Ramapriyan, H.K.
%D 1989
%J Computer Vision, Graphics and Image Processing (CVGIP)
%K multiprocessors, simd, mesh, image processing, component labeling
%N 2
%P 133-149
%T Connected Component Labeling of Binary Images on a Mesh Connected Massivly
Parallel Processor
%V 45

%A Maresca, M. ; Lavin, M.A. ; Li , H.
%D 1988
%J Proceedings of the IEEE
%N 8
%P 970-981
%T Parallel Architectures for Vision
%V 76

%A Maresca, Massimo ; Lavin, Mark ; Li , Hungwen
%B Multicomputer Vision
%C Orlando
%D 1988
%E Levialdi, S.
%I Academic Press
%K multiprocessors, parallel algorithms, polymorphic torus, image processing
hough transform
%P 9-21
%T Parallel Hough Transform Algorithms on Polymorphic Tours Architecture

%A Mei, G. ; Liu, W. ; Cavin, R.
%D 1989
%J Int. Journal of Computer Aided VLSI Design,
%P 437-467
%T Quadtree Problems with Two-Dimensional Shuffle- Exchange Architecture
%V 1

%A Miller, R. ; Prasanna-Kumar , V.K. ; Reisis, D. ; Stout, Q.F.
%D 1988
%J Proceedings Computer Vision and Pattern Recognition (CVPR)
%P 925-930
%T Image Computations on Reconfigurable VLSI Arrays

%A Miller, R. ; Stout , Q.F.
%C Cambridge
%D 1988
%I MIT Press
%T Parallel Algorithms for Regular Architectures

%A Miller, R. ; Stout, Q.F.
%D 1988
%I IEEE
%J Trans. on Computers
%P 1643-1648
%T Simulating Essential Pyramids
%V 37

%A Miller, R. ; Stout, Q.F.
%D 1988
%J Proceedings Computer Vision and Pattern Recognition (CVPR)
%P 912-917
%T Simulating Essential Pyramids

%A Miller, Russ ; Stout, Quentin
%D 1984
%J Proc. 7. Int. Conf. on Pattern Recognition (ICPR)
%K multiprocessors, pyramid, vision, image processing
%P 240-242
%T The Pyramid Computer for Image Processing

%A Moldovan, D.I.; et al.
%C Silver Spring
%D 1985
%J Proceedings Computer Vision and Pattern Recognition (CVPR)
%P 257-264
%T Parallel processing of iconic to symbolic transformation of images

%A Mudge, T.N. ; Delp, Edward J. ; Seigel, Leah J. ; Siegel , Howard Jay
%D 1982
%I IEEE
%J Proc. Pattern Recognition and Image Processing
%K multiprocessors, image processing, image coding, PASM
%P 200-205
%T Image Coding Using the Multiprocessor System PASM

%A Nudd, G.R. ; Etchells, R.D. ; Grinberg , J.
%D 1985
%J Journal of Parallel and Distributed Processing
%K multiprocessors, architecture, image understanding, vision
%P 1-29
%T Three-Dimensional VLSI Architecture for Image Understanding
%V 2

%A Olson, T.J.
%D August 1985
%I Department of Computer Science, University of Rochester
%K multiprocessors, butterfly, image processing
%R Butterfly Project Report 9
%T An Image Processing Package for the BBN Butterfly processor

%A Pachowicz
%D 1989
%J Image and Vision Computing
%K multiprocessors, image processing
%N 2
%P 122-128
%T Image Processing by Software Parallel Computation
%V 7

%A Pass, S.D. ; Fedorec, A.M.
%D 1987
%K multiprocessors, user's guide, CLIP4
%R Report No 87/13; Dept. of Physics and Astronomy, University College London
%T CLIP4 -- A User's Guide

%A Paul, D. ; Hattich, W. ; Nill, W. ; Tatari, S. ; Winkler,G.
%D 1988
%I IEEE
%J Trans. on Pattern Analysis and Machine Intelligence (PAMI)
%P 399-407
%T VISTA: visual interpretation system for technical
applications-architecture and use
%V 10

%A Pfister, G.F. ; et al
%D 1985
%J Int. Conference on Parallel Processing
%K multiprocessors, architecture, RP3
%P 764-771
%T The IBM Research Parallel Processor Prototype (RP3): Introduction and
Architecture

%A Poggio, T.; et al
%D 1988
%J Proc. Image Understandig Workshop
%P 177-198
%T The MIT Vision Machine

%A Pomerleau,Dean A.;Gusciora,George L.;Touretzky,David S.;Kung, H.T.
%D submitted 1988
%J Int. Conference on Neural Networks
%K multiprocessors, warp, neural nets
%T Neural Network Simulation at Warp Speed: How We Got 17 Million Connections
Per Second

%A Prasanna-Kumar , V.K. ; Reisis, D.
%D 1988
%J Proc. Image Understandig Workshop
%P 609-619
%T Parallel Architectures for Image processing and Vision

%A Prasanna-Kumar , V.K. ; Reisis, D.
%D 1989
%I IEEE
%J Trans. on Pattern Analysis and Machine Intelligence (PAMI)
%K image processing, multiprocessors, mesh, DAP
%N 11
%P 1194-1201
%T Image Computations on Meshes with Multiple Broadcast
%V 11

%A Preston, Kendall Jr.
%B Handbook of Pattern Recognition
%C NewYork
%D 1986
%E Young, T. ; Fu, K.S.
%I Academic Press
%K multicomputers, architecture, cellular arrays, image processing
%P 395-436
%T Cellular Logic Arrays for Image Processing

%A Printz, Harry ; Kung, H.T. ; Mummert, Tod ; Scherer, Paul
%C San Diego
%D 1989
%J Proc. SPIE Real-Time Signal Processing XII
%K multiprocessor, signal processing, warp
%T Automatic Mapping of Large Signal Processing Systems to a Parallel Machine

%A Quinn, M.J.
%C New York
%D 1987
%I McGraw-Hill
%T Designing Efficient Algorithms for Parallel Computers

%A Reeves, A.
%B Multicomputer Vision
%C Orlando
%D 1988
%E Levialdi, S.
%I Academic Press
%K multiprocessors, mesh, hypercube, image understanding, vision, evaluation
%P 97-115
%T Meshes and Hypercubes for Computer Vision

%A Reeves, A.P.
%D 1984
%J Journal of Parallel and Distributed Computing
%K multiprocessors, parallel languages, parallel pascal
%P 64-80
%T Parallel Pascal: An Extended Pascal for Parallel Computers
%V 1

%A Reeves, A.P. ; Bergmark, D.
%D 1987
%J Proc. Int. Conference Parallel Processing
%K multiprocessors, parallel languages, parallel pascal
%T Parallel Pascal and the FPS Hypercube Supercomputer

%A Reeves, A.P. ; Moura, C.H.
%D 1986
%J Proc. Int. Conference System Sciences
%K multiprocessors, MPP
%P 222-229
%T Data Manipulations on the Massively Parallel Processor

%A Reeves, Anthony
%D 1984
%J Computer Vision, Graphics and Image Processing (CVGIP)
%K multiprocessors, vision, image processing
%P 68-88
%T Parallel Computer Architecture for Image Processing
%V 25

%A Rembold, Ulrich
%C Karlsruhe
%D 1983
%I Institut f^ur Informatik III, Univ. Karlsruhe
%T Workshop parallele Rechnerarchitekturen in der Mustererkennung

%A Rieger, C. ; Bane, J. ; Trigg, R.
%D 1980
%I IEEE
%J Proc. Workshop on Picture Data Description and Managment
%K multicomputers
%P 298-304
%T A Highly Parallel Multiprocessor

%A Rosenfeld, Azriel; Ornelas, John; Hung, Yubin
%D 1988
%J Computer Vision, Graphics and Image Processing (CVGIP)
%K multiprocessors, simd, mesh, hough-transform
%N 3
%P 293-305
%T Hough Transform Algorithms for Mesh-Connected SIMD Parallel Processors
%V 41

%A Rothstein, J.
%D 1988
%J Trans. on System, Man, and Computer
%P 522-531
%T Bus automata, brains, and mental model
%V 18

%A Sanfeliu, A. ; Font, J. ; Orteu , I.
%D 1988
%J Proc. 9. Int. Conf. on Pattern Recognition (ICPR)
%P 368-370
%T An architecture based on hybrid systems for analyzing 3D industrial scenes

%A Sanz , J.L.C. ; Hinkle, E.B.
%D 1987
%I IEEE Trans. ASSP
%K multiprocessors, parallel algorithms, image processing
%N 2
%P ???
%T Computing Projections of Digital Images in Image Processing Pipeline
Architectures
%V 35

%A Sanz, J.L.C. ; Cypher, R.E.
%D 1988
%J Proc. 9. Int. Conf. on Pattern Recognition (ICPR)
%P 412-419
%T Algorithms for Massively Parallel Image Processing Architectures

%A Sanz, Jorge L. C.
%D 1989
%J Int. Journal Machine Vision and Applications
%K processor architecture, multiprocessors, vision, image processing
%N 3
%P 167-173
%T Position Papers Presented at the Panel: Which Parallel Architectures are
Useful/Useless for Vision Algorithms ?
%V 2

%A Sasaki, Shigeru ; Gotoh, Toshiyuki ; Yoshida , Masumi
%B Advances in Machine Vision
%C New York, Berlin
%D 1988
%E Sanz, Jorge L. C.
%I Springer-Verlag
%P 356-380
%T IDATEN: A Reconfigurable Video-Rate Image Processor

%A Schmitt, L.A. ; Wilson, S.S.
%D 1988
%I IEEE
%J Trans. on Pattern Analysis and Machine Intelligence (PAMI)
%P 320-330
%T The AIS-5000 Parallel Processor
%V 10

%A Scott, D.S. ; Brandenburg, J.
%D 1988
%I IEEE
%J Trans. on Computers
%P 1284-1285
%T Minimal Mesh Embeddings in Binary Hypercubes
%V 37

%A Seger, Olle
%D 1988
%I Department of Electrical Engineering, Link^oping University
%K multiprocessors, PICAP3
%R Link^oping Studies in Scinece and Technology. Thesis. No. 162
%T Microcode Compaction in PICAP3

%A Seitz, C.
%D 1985
%J Communications of the ACM
%K multiprocessors, cosmic cube
%P 22-33
%T The Cosmic Cube
%V 28

%A Selfridge, Peter G.
%D 1984
%J Proc. 5. Int. Conf. on Pattern Recognition (ICPR)
%K multiprocessors, mimd, vision, image processing
%P 996-998
%T Distributed Computing for Vision: Architecture and Preliminary Results

%A Shapiro, Linda G. ; Haralick, Robert M. ; Goulish, Micheal J.
%D 1987
%J Int. Journal of Pattern Recognition and Artifical Intelligence
%K parallel processing, dataflow language, image processing
%N 3
%P 335-350
%T Insight: A Data Flow Language for Programming Vision Algorithms in a
Reconfigurable Computational Network
%V 1

%A Shaw, David Elliot
%D 1985
%J Proc. 11. Int. Joint Conference on Artificial Intelligence (IJCAI)
%K multiprocessors, simd, mimd, vision, ai, NON-VON
%P 61-72
%T NON-VON's Applicability to Three AI Task Areas

%A Sher, Allen C. ; Rosenfeld, Azriel
%D 1989
%J Image and Vision Computing
%K image processing, pyramids, region extraction, texture
%N 2
%P 129-134
%T Detecting and Extracting Compact Textured Regions using Pyramids
%V 7

%A Shu, David B. ; Nash , Greg ; Weems, Charles
%B Advances in Machine Vision
%C New York, Berlin
%D 1988
%E Sanz, Jorge L. C.
%I Springer-Verlag
%K multiprocessors, simd, msimd, mimd, vision, image processing
%P 297-355
%T Image Understanding Architecture and Applications

%A Siegel , Howard Jay ; et al
%D 1981
%J Trans. on Computers
%K multiprocessors, image processing, patern recognition, MIMD, SIMD, PASM
%N 12
%P 934-947
%T PASM: A Partitionable SIMD/MIMD System for Image Processing and Pattern
Recognition
%V 30

%A Siegel, Howard Jay
%C Lexington
%D 1985
%I Lexington Books
%K multiprocessors, interconnection networks
%T Interconnection Networks for Large-Scale Parallel Processors

%A Siegel, Leah J. ; Siegel , Howard Jay ; Feather, Arthur E.
%D 1982
%J Trans. on Computers
%K multiprocessors, image processing, correlation, SIMD, PASM
%N 2
%P 208-218
%T Parallel Processing Approaches to Image Correlation
%V 31

%A Siegel, Leah J. ; Siegel , Howard Jay ; Swain, Philip H.
%D 1982
%J Trans. on Software Engineering (SE)
%K multiprocessors, evaluation, SIMD
%N 4
%P 319-331
%T Performance Measures for Evaluating Algorithms for SIMD Machines
%V 8

%A Siegel,Howard Jay; Schwederski,Thomas;Kuehn, James T.;Davis,Nathaniel J.
%B Tutorial: Computer Architecture
%C Wahington DC
%D 1987
%E Gajski, D.D. ; Milutinovic , V.M. ; Siegel, H.J. ; Furth, B.P.
%I IEEE Computer Society Press
%K multiprocessors, PASM
%P 387-407
%T An Overview of the PASM Parallel Processing System

%A Silberberg, T.M.
%C Miami Beach
%D 1985
%J Proc. Workshop on Computer Architectures for Pattern Analysis and and
Machine Intelligence
%K multiprocessors, image processing, hough transform
%P ???
%T The Hough Transform on the Geometric Arithmetic Parallel Processor

%A Soucek, B.
%C Wiley New York
%D 1988
%T Brain-Like and Massively Parallel Computers

%A Stevens, Kenneth S.
%D 1986
%K multiprocessors, FAIM
%R Tech. Report No. 47, Palo Alto Reserach
%T The Communications Framework For a Distributed Ensemble Architecture

%A Stewart, C.V. ; Dyer C.R.
%D 1988
%J Journal Parallel and Distributed Programming
%P 131-153
%T Scheduling algorithms for PIPE (Pipelined Image-Processing Engine)
%V 5

%A Stout, Quentin F.
%D 1988
%J Proceedings of the IEEE
%K multiprocessors, image processing, vision, mapping
%N 8
%P 982-995
%T Mapping Vision Algorithms to Parallel Architectures
%V 76

%A Sunwoo, M.H. ; Baroody, B.S. ; Aggarwak, J.K.
%C Seattle
%D 1987
%J Proc. Workshop on Computer Architectures for Pattern Analysis and and
Machine Intelligence
%P 27-34
%T A Parallel Algorithm for Region Labeling

%A Swain, Philip H. ; Siegek , Howard Jay ; El-Achkar, Joseph
%D 1980
%J Proc. 5. Int. Conf. on Pattern Recognition (ICPR)
%K multiprocessors, image processing
%P 309-317
%T Multiprocessor Implementation of Image Pattern Recognition: A General
Approach

%A Theoharis, Theoharis
%C Berlin
%D 1989
%I Springer
%S Lecture notes in computer science 373
%T Algorithms for parallel polygon rendering

%A Treleaven, P.C.
%D 1988
%J Parallel Computing
%P 59-70
%T Parallel Architecture Overview
%V 8

%A Treleaven, P.C. ; et al
%B Future Parallel Computers
%C Berlin
%D 1987
%E Treleaven, P.C.
%I Springer
%S Lecture Notes in Computer Sciences 272
%T Computer Architectures for Artificial Intelligence

%A Tucker, L.W. ; Robertson, G.G.
%D 1988
%J Computer
%N 8
%P 26-38
%T Architecture and Applications of the Connection Machine
%V 21

%A Tucker, Lewis W. ; Feynman, Carl R. ; Fritzsche, Donna M.
%C Ann Arbor
%D 1988
%J Proc. Computer Vision and Pattern Recognition
%K multiprocessors, connection machine, vision, object regognition
%P 871-878
%T Object Recognition Using the Connection Machine

%A Uhr, L.
%D 1972
%J IEEE Transactions on Computers
%P 758-768
%T Layered recognition cone networks that preprocess, classify, and describe
%V 21

%A Uhr, L.
%C New York
%D 1984
%I Academic Press
%T Algorithm-Structured Computer Arrays and Networks

%A Uhr, L.
%C New York
%D 1987
%I Wiley
%T Multi-Computer Architectures for Artificial Intelligence

%A Uhr, L.
%B Multicomputer Vision
%C Orlando
%D 1988
%E Levialdi, S.
%I Academic Press
%K multiprocessors, evaluation
%P 53-73
%T Coordinated Evaluation of Parallel Architectures for Perceptual Tasks

%A Uhr, L.
%B Handbook of Pattern Recognition
%C NewYork
%D 1986
%E Young, T. ; Fu, K.S.
%I Academic Press
%K multicomputers, architecture, image processing, vision
%P 437-469
%T Parallel Multi-Computer Architectures for Image Processing, Computer Vision
and Pattern Perception

%A Uhr, L. ; Douglas, R.
%D 1979
%J Pattern Recognition
%P 29-40
%T A parallel-serial recognition cone system for perception
%V 11

%A Wallace, R.S. ; Howard, M.D.
%C Seattle, Washington
%D December 1987
%I IEEE
%J Computer Architecture for Pattern Analysis and Machine Intelligence
%K multiprocessors, Houghes HBA, image processing
%T HBA Vision Architecture: Built and Benchmarked

%A Wallace, Richard S. ; Webb , Jon A. ; Wu , I-Chen
%D 1989
%J Computer Vision, Graphics and Image Processing (CVGIP)
%K multiprocessors, image processing, vision language
%N 2
%P 246-264
%T Machine-Independent Programming Processing: Performance of Apply on Diverse
Architectures
%V 48

%A Weems, C. ; et al
%D 1985
%I IEEE
%J Proc. Computer Vision and Pattern Recognition
%P 598-607
%T Iconic and Symblic Processing Using a Content Adressable Array Parallel
Processor

%A Weems, C.C.
%D 1988
%J Proc. Image Understandig Workshop
%P 127-138
%T Some sample algorithms for the Image Understanding Architecture

%A Weil, Frank ; Jamieson, Leah ; Delp, Edward
%B Multicomputer Vision
%C Orlando
%D 1988
%E Levialdi, S.
%I Academic Press
%K multiprocessors, PASM, image understanding, vision, scheduling
%P 35-51
%T An Algorithm Database for an Image Understandig Task Execution Environment

%A Wilson, S.S.
%D 1985
%J Proc. Workshop on Computer Architectures for Pattern Analysis and Image
Database Management
%K multiprocessors, image processing, systolic array, PIXIE
%P 477-483
%T The PIXIE-5000 -- A Systolic Array Processor

%A Wilson, Stephen S.
%B Multicomputer Vision
%C Orlando
%D 1988
%E Levialdi, S.
%I Academic Press
%K multiprocessors, SIMD, linear array, AIS
%P 131-149
%T One Dimensional SIMD Architctures -- The AIS-5000

%A Wu, Angela; Bhaskar, S.K.; Rosenfeld, Azriel
%D 1988
%J Computer Vision, Graphics and Image Processing (CVGIP)
%K multiprocessros, simd, medial axis transform
%N 3
%P 323-332
%T Parallel Computation of Geometric Properties from Medial Axis Transform
%V 41

%A Yalamanchili, S. ; Aggarwal, J.K.
%D 1985
%J Pattern Recognition
%N 1
%P 17-29
%T A System Organisation for Parallel Image Processing
%V 18

%A Yalamanchili, S. ; Aggarwal, J.K.
%D 1985
%J Pattern Recognition
%N 1
%P 1-16
%T Analysis of a Model for Parallel Image Processing
%V 18

%A Yalamanchili, S. ; et al
%B Progress in pattern recognition 2
%C Amsterdam
%D 1985
%E Kanal, Laveen N. ; Rosenfeld , A.
%I Amsterdam North Holland Publ. Co.
%P 1-37
%T Image Processing Architectures: A Taxonomy and Survey



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