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VISION-LIST Digest Volume 13 Issue 13

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VISION-LIST Digest    Fri Mar 18 16:19:59 PDT 94     Volume 13 : Issue 13 

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Today's Topics:

Utilizing 2D-Convolution Hardware in C40 Systems
Re: VISION-LIST digest 13.12
Images for face recognition
Vision components for control of welding
Re: 3d skeletonization algorithm
Segmentation with Markov Random Fields
Segmentation algorithm
GRA Positions
CVPR 94 Advance Program Material
CFP (rev.): Joint ATR Systems and Technology Conf. IV & IU Workshop
Workshop

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

Date: Sun, 13 Mar 94 13:16:09 EST
From: sjb@traquair.com (Stephen J. Bradshaw)
Subject: Utilizing 2D-Convolution Hardware in C40 Systems

Hello,

Traquair Data Systems has developed a high speed 2-D Convolution engine
for Vision & Image Processing applications, for use with TMS320C40 systems.
The module incorporates dedicated 2-D convolution hardware and a TMS320C40
processor, and is capable of processing image data at a rate of to 12.5M
pixels per second. This is about an order of maginitude faster than what a
single TMS320C40 processor can achieve on its own.

It is primarily an 8-bit design, although convolved data can be generated
and stored at a 16-bit resolution, which is useful when employing multiple
pass convolution algorithms. It can also be used for selectively processing
the Red, Green, or Blue components of an RGB image.

The module can be incorporated as part of a TMS320C40 processor network,
and can be connected with C40 based 8-bit and 24-bit Video I/O interfaces.

We are currently putting together some application notes, are interested in
establishing contact with organizations that may have interesting or perhaps
unusual applications or requirements for TMS320C40 architectures with the
above image processing enhancements. Of particular interest is how to best
benefit from a programmable (currently 256 element) look up table, which
makes up part of the post processing section of the convolution hardware, to
implement linear or non-linear operations. Has anyone else done something
like this, and if so, what are their experiences ?

Many Thanks,

Steve Bradshaw No disclaimers, this is company policy !

Traquair Data Systems, Inc. email: sjb@traquair.com
Tower Building, 112 Prospect St. Phone: (607) 272 4417
Ithaca, NY 14850 Fax: (607) 272 6211

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

Date: Mon, 14 Mar 1994 15:13:25 +0000 (GMT)
From: Werner Tschiesche <werner@isc.ulst.ac.uk>
Subject: Re: VISION-LIST digest 13.12

Hi there,

I am trying to compile a list of people who are currently working in
the area of facial recognition, and the techniques and applications which
have/are being used. My intentions are to set up a collaborating peer
group, so if you work in this area or know of others working in the same
discipline, then please email me your specific interests and possibly a
short introduction of yourself to

Thank you in advance

WERNER TSCHIESCHE [ Email : werner@mgvax.ulst.ac.uk ]
Interactive Systems Centre [ Phone : +44 (504) 265621 ext. 5620 ]
Magee College [ Fax : +44 (504) 370040 ]
University of Ulster
Londonderry, Northern Ireland BT48 7JL

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

Date: Fri, 18 Mar 1994 14:37:36 GMT
From: ackerman@cscs.ch (Bernard Achermann)
Subject: Images for face recognition
Keywords: computer vision, face recognition, face identification

Hello everybody

I'm working on a project about face recognition/identification. I'm
looking now for some images of faces for test purposes. As far as I
know there are some images on ftp.teleos.com and on ftp.ai.mit.edu.

Does anybody know where are other data bases with images of faces ???

If I get any reasonable results I'll post a list with these sites in
a few days.

Thanks a lot

Bernard
(ackerman@iam.unibe.ch)

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

Date: Fri, 18 Mar 1994 08:33 EST
From: Bert van den Berg <BERT@amtds5.iamt.nrc.ca>
Subject: Vision components for control of welding

hi,

A collegue is trying to find technology, (or components) to solve the following
problem:

given: - a TIG (Tungsten Inert Gas) butt weld
- a (colour) fiber optics based video system looking at the weld pool
(from the bottom, so looking for weld penetration)

find/create a system that:
- converts the video signal to a colour bitmap
- thresh-holds the bitmap to determine the (oval shaped) region
that is the weld pool's penetration
- calculates the maximum length and width of that weld pool
- provides this information at .2->1 Hz
- is industrially reliable, and appropriate for a factory

assuming that:
- the threshholding colour information is predefined in a file

If there is a supplier out there who can furnish such a system I'd like a
contact or to hear from them. If this is a question of assembling existing
tools, could you provide pointers to the elements required.

thanks for your attention,

bert van den Berg
National Research Council of Canada
internet: bert.vandenberg@nrc.ca

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

Date: 13 Mar 1994 16:15:31 GMT
From: prabir@cherokee.unl.edu (Prabir Bhattacharya)
Organization: University of Nebraska--Lincoln
Subject: Re: 3d skeletonization algorithm

Vision-List@TELEOS.COM writes:
>I am looking for 3D skeletonization (or thinning) code that computes
>an unbroken medial axis through reasonably complex (merging and
>splitting) 3D blobs. Does anyone have any running code they might share
>or even pointers to descriptions of a reasonable algorithm.

We have recently published such an algorithm in

P. Bhattacharya, K. Qian and X. Lu, "An Algebraic Approach to Morphological Operations on 2D and 3D Images", PATTERN RECOGNITION, vol. 26, pp. 1785-1796
(1993).

Also, we gave some references.

Prabir Bhattacharya
University of Nebraska-Lincoln, Computer Science & Engineering, Lincoln NE 68588
voice: work 402-472-5002, fax: 402-472-7767
prabir@cherokee.unl.edu

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

Date: Wed, 16 Mar 1994 15:45:00 +0100
From: Xavier BULLE <bulle@lai1.univ-lyon1.fr>
Subject: Segmentation with Markov Random Fields

Hi,

I work on a project of image modelisation with Markov's model and more
especially on region segmentation with that method. I'looking for code
(segmentation algorithms, simulated annealing algorithms...) on that
subject.

Thanks in advance

X. BULLE

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

Date: Fri, 18 Mar 1994 19:15:29 GMT
From: brassard@cs.sfu.ca (Louis Brassard)
Organization: Simon Fraser University
Subject: Segmentation algorithm
Keywords: segmentation, texture

I would like to get the C source code of a good image segmentation
algorithm that use a pyramid data structure and that uses image
texture.

Any help will be appreciated.

Louis Brassard
School of Engineering Science
Simon Fraser University
Burnaby, B.C. , Canada
e-mail: brassard@cs.sfu.ca

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

Date: 15 Mar 1994 18:53:48 GMT
From: sethi@pandora.cs.wayne.edu (Ishwar K. Sethi)
Organization: Wayne State University, Detroit, MI
Subject: GRA Positions

GRADUATE RESEARCH ASSISTANT POSITIONS

The Vision and Neural Networks Laboratory of the Department of Computer
Science at Wayne State University is looking for suitable students for
two (2) graduate research assistant positions. One position involves
the application of neural networks and computer vision into some
problems of high energy physics. The other position is related to the
development of image databases for medical applications. Good academic
background and computer skills are a must. The candidates should be
capable of pursuing research with minimal supervision and should be
willing to work as a team member.

For further information, contact:

Professor Ishwar K. Sethi
Vision & Neural Networks Laboratory
Department of Computer Science
Wayne State University
Detroit, MI 48202
Tel. 313-577-0730
Fax 313-577-6868

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

Date: Fri, 18 Mar 1994 09:40:32 -0500
From: Dr Kevin Bowyer <kwb@figment.csee.usf.edu>
Subject: CVPR 94 Advance Program Material

ADVANCE PROGRAM

IEEE Computer Society Conference on

COMPUTER VISION & PATTERN RECOGNITION

June 19-23, 1994 The Westin Hotel Seattle, Washington

Sponsored by
IEEE Computer Society TC on PAMI

Inside:
The latest information on the CVPR program and tutorials,
plus information on:
Workshop on Pattern and Shape Matching in Computational Biology
Workshop on the Role of Functionality in Object Recognition
Workshop on Visualization and Machine Vision
Workshop on Biomedical Image Analysis
Workshop on Visual Behaviors
Workshop on Performance Versus Methodology in Computer Vision

===================
Preliminary Program
===================

Tuesday, June 21

9:00 - 10:00 am Plenary Session

10:00 - 10:30 am Coffee Break

10:30 am - 12:30 pm Parallel Sessions
TRACK 1 - LOW LEVEL 1 (Surfaces)
A New Robust Operator for Computer Vision: Theoretical Analysis, C. Stewart
An O(N) Iterative Solution to the Poisson Equation in Low-Level Vision
Problems, S. H. Lai, B. C. Vemuri
The Outlier Process: Unifying Line Processes and Robust Statistics, M.
Black, A. Rangarajan
Segmentation of Surface Curvature Using a Photometric Invariant, L. B.
Wolff, J.Fan

TRACK 2 - OBJECT RECOGNITION 1
Illumination Planning for Object Recognition in Structured Environments, H.
Murase, S.K. Nayar
Constraint-Fusion for Localization and Interpretation of Constrained
Objects, Y. Hel-Or, M.Werman
Feature Matching for Building Extraction from Multiple Views, M. Roux, D.M.
McKeown
Projective and Object Space Geometry for Monocular Building Extraction, J.
C. McGlone, J. A. Shufelt
Detection of Buildings Using Perceptual Groupings and Shadows, C. Lin, A.
Huertas, R. Nevatia

TRACK 3 - PATTERN RECOGNITION/SYSTEMS 1
Invited Talk: Pattern Recognition: Present and Future (45 minutes), Dr.
Torfinn Taxt, Univ. of Bergen, Norway
Computing Spatio-Temporal Representations of Human Faces, Y. Yacoob, L. S.
Davis
A Vision System for Observing and Extracting Facial Action Parameters, I. A.
Essa, A. Pentland
View-Based and Modular Eigenspaces for Face Recognition, A. Pentland, B.
Moghaddam, T. Starner, O. Oliyide, M. Turk

12:30 - 2:00 pm Lunch Break

2:00 - 3:30 pm Parallel Sessions
TRACK 1 - LOW LEVEL 2 (Curves & Contours)
Nonlinear Diffusion of Scalar Images using Well-Posed Differential Operators
with Applications in Medical Imaging, W. J. Niessen, B. M. ter Haar Romeny,
L. M. J. Florack, A. H. Salden
Automated Design of Bayesian Perceptual Inference Networks, S. Sarkar, K. L.
Boyer
Perceptual Completion of Occluded Surfaces, L. R. Williams, A. R. Hanson
Geometric Heat Equation and Non-linear Diffusion of Shapes and Images, B. B.
Kimia, K. Siddiqi

TRACK 2 - MOTION 1
Registration without Correspondences, P. Fua, Y.G. Leclerc
A New Closed-Form Solution for Absolute Orientation, Z.Wang, A. Jepson
Extraction of 3D Shape from Optic Flow: a Geometric Approach, T.M.H.
Dijkstra, P.R. Snoeren, C.C.A.M. Gielen
A Framework for Recovering Affine Transforms Using Points, Lines or Image
Brightnesses, R. Manmatha

TRACK 3 - PANEL
Shape for Recognition: Ponce, Bajcsy, Binford, Forsyth, Hebert

3:30 - 4:00 pm Coffee Break

4:00 - 5:30 Parallel Sessions
TRACK 1 - 3D VISION
Surface Description of Complex Images from Multiple Range Images, C. Yang,
G. Medioni
Recovering Parametric Geons from Multiview Range Data, K. Wu, M. D. Levine
A New Robust Operator for Computer Vision: Application to Range Data, C. V.
Stewart
The Extruded Generalized Cylinder: A Deformable Model for Object Recovery,
T. O'Donnell, X-S. Fang, A. Gupta, T. Boult
Orientation-Based Representations of 3-D Shape, Y. Li, R. Woodham

TRACK 2 - MOTION 2
A Visual-Motion Fixation Invariant, D. Raviv, N. Ozery
Hierarchical Spline-Based Image Registration, R. Szeliski, J. Coughlan
Subpixel Contour Matching Using Continuous Dynamic Programming, B. Serra, M.
Berthod
Computing Differential Properties of 3D Shapes from Stereoscopic Images
without 3D Models, F. Devernay, O.D. Faugeras
A Survey of Motion Analysis from Moving Light Displays, C. Cedras, M. Shah

TRACK 3 - PANEL
The Role of Computer Vision in Multimedia: Delp, Jain, Pentland, et al

10:30 am - 4:30 pm POSTER SESSION I

Wednesday, June 22

9:00 - 10:00 am Plenary Session
Keynote Speaker: Leroy E. Hood

10:00 - 10:30 am Coffee Break

10:30 am - 12:30 pm Parallel Sessions
TRACK 1 - LOW-LEVEL 3 (Filtering)
Overcomplete Steerable Pyramid Filters and Rotation Invariance, H.
Greenspan, S. Belognie, P. Perona, R. Goodman, S. Rakshit, C. Anderson
Analytical studies of low-level motion estimators in space-time images using
a unified filter concept, B. Jahne
X-Y separable pyramid steerable scalable filters, D. Shy, P. Perona
Singularity Analysis and Derivative Scale-Space, F. Falzon, G. Giraudon

TRACK 2 - OBJECT RECOGNITION 2
Time and Space Efficient Pose Clustering, C. F. Olson
Efficient Indexing Techniques for Model Based Sensing, A. Wallack, J. Canny
Recognition by Functional Parts, E. Rivlin, S. J. Dickinson
Learning Indexing Functions for 3-D Model-Based Object Recognition, J. S.
Beis, D. G. Lowe
Robust Feature Selection for Object Recognition using Uncertain 2D Image
Data, T. Gandhi, O. Camps

TRACK 3 - SYSTEMS AND APPLICATIONS
Complementary Data Fusion for Limited-Angle Tomography, J. E. Boyd, J. J.
Little
Tracking of Tubular Objects for Scientific Applications, B. Parvin, C. Peng,
W. Johnston, M. Maestre
Automating the Hunt for Volcanoes on Venus, M. C. Burl, U.M. Fayyad, P.
Perona, P. Smyth, M.P. Burl
Salient Structure Analysis for Fluid Flow, J. Zhong, T. Huang, R. Adrian
On Integration of Vision Modules, S. Pankanti, A. K. Jain

12:30 - 2:00 pm Lunch Break

2:00 - 3:30 pm Parallel Sessions
TRACK 1 - ACTIVE VISION 1
Occluding Contour Detection Using Affine Invariants and Purposive Viewpoint
Control, K. N. Kutulakos, C. R. Dyer
Global Surface Reconstruction by Purposive Control of Observer Motion, K. N.
Kutulakos, C. R. Dyer
Autonomous Exploration: Driven by Uncertainty, P. Whaite, F. P. Ferrie
Optimal Estimation of 3D Structures Using Visual Servoing, F. Chaumette, S.
Boukir, P. Bouthemy, D. Juvin

TRACK 2 - PHYSICS-BASED VISION 1
Using Illumination Invariant Color Histogram Descriptors for Recognition, G.
Healey, D. Slater
A framework for segmentation using physical models of image formation, B.
Maxwell, S. Shafer
On the Relative Brightness of Specular and Diffuse Reflection, L. B. Wolff
Analysis of Shape from Shading Techniques, R. Zhang, P-S. Tsai, J. E. Cryer,
M. Shah

TRACK 3 - DOCUMENT PROCESSING
Document Image Analysis, R. Haralick
A Practical Pattern Recognition System for Translation, Scale and Rotation
Invariance, W. Y. Kim, P. Yuan
Recognizing Off-Line Cursive Handwriting, B. A. Yanikoglu, P. A. Sandon

3:30 - 4:00 pm Coffee Break

4:00 - 5:15 pm Parallel Sessions
TRACK 1 - DOCUMENT PROCESSING (continued)
An On-Line Cursive Word Recognition System, G. Seni, N. Nasrabadi
Benchmarking Page Segmentation Algorithms, S. Randriamasy, L. Vincent

TRACK 2 - PATTERN RECOGNITION/SYSTEMS 2
Object Recognition Using Multi-Layer Hopfield Neural Network, S. S. Y. Peter
D. Scott, N. M. Nasarabadi
Three-Dimensional Image Registration for Spiral CT Angiography, M. M. Yeung,
B-L. Yeo, S-P. Liou, A. Banihashemi
An Automatic Registration Method for Frameless Stereotaxy, Image, Guided
Surgery and Enhanced Reality Visualization, W. Grimson, T. Lozano-Perez, W.
Wells, G. Ettinger, S. White
Deformable Models With Parameter Functions: Application to Heart-Wall
Modeling, J. Park, D. Metaxas, A. Young

10:30 am - 4:30 pm POSTER SESSION 2

6:15 pm BANQUET

Thursday, June 23

8:30 - 9:00 am Plenary Session
Invited Talk: IUE, Joe Mundy

9:00 - 10:00 am PANEL
Computer Vision - Past, Present and Future: Shafer

10:00 - 10:30 am Coffee Break

10:30 am - 12:30 pm Parallel Sessions
TRACK 1 - MOTION 3
MDL-Based Spatiotemporal Segmentation from Motion in a Long Image Sequence,
H. Gu, Y. Shirai, M. Asada
Recovery of Ego-Motion Using Image Stabilization, M. Irani, B. Rousso, S.
Peleg
Virtually Observable Temporal Kinematic Descriptors for Polynomial
Translations, P. Burlina, R. Chellappa
Analyzing and Recognizing Walking Figures in XYT, S. A. Niyogi, E. H.
Adelson
Representation and computation of the spatial environment for indoor
navigation, D. Kim, R. Nevatia

TRACK 2 - OBJECT RECOGNITION 3 (Projective Geometry & Invariance)
Relative Affine Structure: Theory and Application to 3D Reconstruction from
Perspective Views, A. Shashua, N. Navab
Affine-Invariant B-Spline Weighted Moments for Object Recognition from Image
Curves, Z. Huang, F. S. Cohen
Rigid, Affine and Locally Affine Registration of Free-Form Surfaces, J.
Feldmar, N. Ayache
Using Global Consistency to Recognise Euclidean Objects with an Uncalibrated
Camera, D. Forsyth, J. Mundy, A. Zisserman, C. Rothwell

TRACK 3 - PHYSICS-BASED VISION 2
Height Recovery From Intensity Gradient, R. Zhang, M. Shah
Recovering The Shape of Polyhedra Using Line-Drawing Analysis and Complex
Reflectance Models, I. Shomshoni, J. Ponce
Surface Curvature from Integrability, J. Fan, L. B. Wolff
A Shape-from-Texture Algorithm Based on the Human Visual Psychophysics, K.
Sakai, L. H. Finkel

12:30 - 2:00 pm Lunch Breack

2:00 - 3:30 pm Parallel Sessions
TRACK 1 - ACTIVE VISION 2
Real-Time Feature Tracking and Projective Invariance as a Basis for Hand-Eye
Coordination, G. D. Hager
Accurate Vergence Control in Complex Scenes, J. R. Taylor, T. J. Olson, W.
N. Martin
Recognizing Object Function Through Reasoning About 3-D Shape and Dynamic
Physical Properties, L. Stark
Qualitative Obstacle Detection, Z. Zhang, R. Weiss, A. R. Hanson

TRACK 2 - 3D MODELS
Principal Component Analysis with Missing Data and Its Application to Object
Modeling, H-Y. Shum, K. Ikeuchi, R. Reddy
Blended Deformable Models, D. DeCarlo, D. Metaxas
Merging Range Images of Arbitrarily Shaped Objects, M. Rutishauser, M.
Stricker, M. Trobina

TRACK 3 - INVITED TALK
Needs for Computer Vision Research: Academia and Industry, Bhanu

3:30 - 4:00 pm Coffee Break

4:00 - 5:15 pm Parallel Sessions
TRACK 1 - LOW-LEVEL VISION 4 (Feature Extraction)
Good Features to Track, C. Tomasi, J. Shi
Deformable Contours: Modeling and Extraction, K. F. Lai, R. T. Chin
A Fast Algorithm for MDL-Based Multi-Band Image Segmentation, T. Kanungo, B.
Dom, W. Niblack, D. Steele
Simultaneous Segmentation and Approximation of Complex Patterns, C. Liao, G.
Medioni

TRACK 2 - 3D MODELS (continued)
Registration of Multiple Range Views for Automatic 3-D Model Building, H.
Gagnon, M. Soucy, R. Bergevin, D. Laurendeau
Extremal Points: definition and application to 3D image registration, J-P.
Thirion

10:30 am - 4:30 pm POSTER SESSION 3

POSTERS

POSTER SESSION I
A. LOW-LEVEL POSTERS
Deformable Boundary Finding Influenced by Region Homogeneity, A.
Chakraborty, L. H. Staib, J. Duncan
Hierarchical Gabor Filters for Object Detection in Infrared Images, R. N.
Braithwaite, B. Bhanu
Medium Level Scene Representation Using VLSI Smart Hexagonal Sensor with
multi-
resolution Edge Extraction Capability and Scale Space Integration
co-Processor, M. Tremblay, M. Savard, D. Poussart
Voronoi Diagrams of Polygons: A Framework for Shape Representation, N.
Mayya, V.T. Rajan
Efficient Parallel Multigrid Relaxation Algorithms for Markov Random
Field-Based Low- level Vision Applications, E. Memin, F. Heitz, F. Charot
Practical edge finding with a robust estimator, M. M. Fleck
Reconstruction of High Resolution 3D Visual Information Using Sub-pixel
Camera
Displacements, M. Berthod, H. Shekarforoush, M. Werman, J. Zerubia
Initializing Snakes, W. Neuenschwander, G. Szekely, O. Kubler
Localized Radon Transform-Based Detection of Linear Features in Noisy
Images, A. C. Copeland, G. Ravichandran, M. M. Trivedi
Variable Window Gabor Filters and Their Use in Focus and Correspondence, Y.
Xiong, S. A. Shafer
Automatic Selection of Tuning Parameters for Feature Extraction Sequences,
V. Ramesh, R. Haralick, X. Zhang, D. Nadadadur, K. Thornton
Quantitative Performance Evaluation of Thinning Algorithms Under Noisy
conditions, M.Y. Jaisimha, R. Haralick, D. Dori

B. PATTERN RECOGNITION/SYSTEMS POSTERS
Automated Discovery of Detectors and Interation-PerformingCalculations to
Recognize Patterns in Protein Sequences Using Genetic Programming, J. R.
Koza
Qualitative Image Analysis of Group Behaviour, T. Kawashima, K. Yoshino, Y.
Aoki
Site Model Supported Monitoring of Aerial Images, C. L. Lin, Q. Zheng, R.
Chellappa, L. S. Davis, X. Zhang
Gaussian Normalization of Morphological Size Distributions for Increasing
Sensitivity to Texture Variations and its Application to Pavement Distress
Classification, C. Bhagvati, M. M. Skolnick, D. A. Grivas
The Capacity and the Sensitivity of Color Histogram Indexing, M. Stricker,
M. Swain
A Study Relating Image Sampling Rate and Image Pattern Recognition, G.
Srikantan, S. N. Srihari
Depth from Focus with One Image, B. Jahne, P. Geissler
VISIPLAN: A Hierarchical Planning Framework for Composing Biomedical Image
Analysis Processes, L. Gong, C. A. Kulikowski
A hierarchical statistical framework for the segmentation of deformable
objects in image sequences, C. Kervrann, F. Heitz, E. Memin, F. Heitz, F.
Charot
Information Extraction from Telephone Company Drawings, J.F. Arias, S.
Balasubramanian, A. Prasad, R. Kasturi
A Maximum Likelihood N-Camera Stereo Algorithm, I. J. Cox
Hexagonal Wavelet Representations for Recognizing Complex Annotations, A.
Laine, S. Schuler
Sekeleton-Space: a Multiscale Shape Description Combining Region and
Boundary Information
R. L. Ogniewicz
Shape Analysis of Brain Structures Using Physical and Experimental Modes, J.
Martin, A. Pentland, R. Kikinis
Face Recognition Under Varying Pose, D. Beymer
Age Classification from Facial Images, Y. H. Kwon, N. da Vitoria Lobo
Vista: A Software Environment for Computer Vision Research, A. Pope, D. Lowe

POSTER SESSION 2
A. Active Vision Posters
Model-based Next View Planning By Using Rules --- Automatic Feature
Prediction and Detection, H. Liu, X. Lin
A New Method to Calculate Looming for Autonomous Obstacle Avoidance, K.
Joarder, D. Raviv
Integration of Bottom-Up and Top-Down Cues for Visual Attention Using
Non-Linear Relaxation, R. Milanese, H. Wechsler, S. Gil, J-M. Bost, T. Pun
Focused Image Recovery from Two Defocused Images Recorded With Different
Camera Settings, M. Subbarao, T-C. Wei, G. Surya
Controlled Active Exploration of Uncalibrated Environments, C. E. Smith, S.
A. Brandt, N. P. Papanikolopoulos
Obstacle Detection Analysis, P. Bobet, C. Schmid, J-M. Bedrune, J. Crowley
Viewpoint selection for visual search tasks, L. E. Wixson
Active stereo vision and cyclotorsion, M. R. M. Jenkin, J. K. Tsotsos
Qualitative Tracking of 3-D Objects using Active Contour Networks, S. J.
Dickinson, P. Jasiobedzki, G. Olofsson
Emerging hypothesis verification using function-based geometric models and
active vision strategies, C. P. Lam, G. West, S. Vankatesh
Reactive View Planning for Quantification of Local Geometry, C. Brondgaard,
M. & H. I. Christensen
The Resolvability Ellipsoid for Visual Servoing, B. Nelson, P. K. Khosla
Recognition by Using an Active/Space-Variant Sensor, M. Tistarelli
Executing Reactive Behavior for Autonomous Navigation, B. Rochwerger, C.
Fennema, B. Draper, A. Hanson, E. Riseman

B. 3D Vision Posters
Visually-Guided Navigation by Comparing Two-Dimensional Edge Images, D. P.
Huttenlocher, M. E. Leventon, W. J. Rucklidge
Realistic Range Rendering, P. J. Flynn
Extraction of the zero-crossings of the curvature derivative in volumic 3D
medical images: a multi-scale approach, O. Monga, R. Lengagne, R. Deriche
Simplex Meshes: a General Representation for 3D Shape Reconstruction, H.
Delingette
Dense, Time-varying Range Data Acquisition from Stereo Pairs of Thermal and
Intensity Images, J. Ohya, F. Kishino

C. Object Recognition Posters
A Markov Random Field Model for Object Matching under Relational
Constraints, S. Z. Li
Probe Based Recognition of Targets in Infrared Images, S. Z. Der, R.
Challappa
HOT Curves for Modelling and Recognition of Smooth Curvey 3D Shapes, T.
Joshi, J. Ponce, B. Vijayakumar, D. J. Kriegman
Data and model-driven selection using closely-spaced parallel-line groups,
T. F. Sydea-Mahmood
2D Matching of 3D Moving Objects in Color Outdoor Scenes, M-P. Dubuisson, A.
K. Jain
Error Propagation in Full 3-D and 2-D Object Recognition, T. D. Alter, D. W.
Jacobs

POSTER SESSION 3
A. Motion Posters
Detecting Multiple Image Motions by Exploiting Temporal Coherence of
Apparent Motion over a Long Image Sequence, H-J. Chen, Y. Shirai
Projective Reconstruction from Line Correspondences, R. I. Hartley
Euclidean Reconstruction from Uncalibrated Views, R. I. Hartley
Pictures and Trails: a New Framework for the Computation of Shape and Motion
from Perspective Image Sequences, C. Tomasi
Structure from image sequences captured through a monocular extra-wide angle
lens, K. Kato, T. Nakanishi, A. Shio, K. Ishii
Accurate Structure and Motion Computation in the Presence of Range Image
Distortions Due to Sequential Acquisition, P. W. Smith, N. Nandhakumar
3D Geometry from Planar Parallax, H. S. Sawhney
Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans, F.
Lu, E. Milios
Motion Estimation and Vector Splines, D. Suter
Determination of Motion Parameters and Estimation of Point Correspondences
in Small Nonrigid Deformations, C. Kambhamettu, D. B. Goldgof, M. He
Robust Motion Analysis, M. Bober, J. Kittler
Adaptive-complexity registration of images, J. R. Muller, P. Anandan, J. R.
Bergen
Independent motion segmentation and collision prediction for road vehicles,
D. Sinclair, B. Boufama, R. Mohr
A Maximum Likelihood N-Camera Stereo Algorithm, I. J. Cox
Motion and Structure from One Dimensional Optical Flow, E. De Micheli, F.
Giachero
Integration of Transitory Image Sequences, J. Weng, Y. Cui, N. Ahuja and A.
Singh
Affine Invariant Detection of Periodic Motion, S. Seitz, C. Dyer
Modelled Object Pose Estimation and Tracking by a multi-cameras system, P.
Braud, M. Dhome, J. T. Lapreste, N. Daucher
Active Part-Decomposition, Shape and Motion Estimation of Articulated
Objects: A Physics-based Approach, I. Kakadiaris, D. Metaxas, R. Bajcy

B. Physics-Based Posters
Closed-form attitude determination under spectrally varying illumination, M.
S. Drew, L. L. Kontsevich
Adaptive Polynomial Modelling of the Feflectance Map for Shape Estimation
from Stereo and Shading, D. Hougen, N. Ahuja
A Low-Dimensional Representation of Human Faces for Arbitrary Lighting
Conditions, P. W. Hallinan
Scene Understanding from Propagation and Consistency of Polarization-Based
Constraints
L. B. Wolff

=================
Program Committee
=================

Narendra Ahuja Bir Bhanu
University of Illinois University of California at Riverside

Kevin Bowyer Anil Jain
University of South Floridaa Michigan State University

Prasanna Mulgaonkar Steven Shafer
SRI International Carnegie-Mellon University

Bill Thompson Robert Woodham
University of Utah University of British Columbia

Yiannis Aloimonos Minoru Asada
University of Maryland Osaka University

J. Ross Beveridge Ruud Bolle
Colorado State University IBM T.J. Watson Research Center

Gunilla Borgefors Terry Boult
Swedish U. of Agricultural Sciences Columbia University

Kim Boyer Octavia I. Camps
The Ohio State University Pennsylvania State University

Jill D. Crisman Edward J. Delp
Northeastern University Purdue University

Byron E. Dom Jan-Olof Ecklundh
IBM Almaden Research Center Royal Institute of Technology

Bruce Flinchbaugh Patrick Flynn
Texas Instruments Washington State University

David A. Forsyth Brian Funt
University of Iowa Simon Fraser University

Glenn Healy Ellen Hildreth
University of California at Irvine Wellesley College

Rangachar Kasturi David Lowe
Pennsylvania State University University of British Columbia

David M. McKeown, Jr. Larry Mattheis
Carnegie-Mellon University Jet Propulsion Laboratory

Gerard Medioni Randal Nelson
University of Southern California University of Rochester

Alison Noble Jean Ponce
GE Corporate R & D Center University of Illinois

Azriel Rosenfeld Shahriar Negahdaripour
University of Maryland University of Miami

Sargun N. Srihari Louise Stark
SUNY Buffalo University of The Pacific

George Stockman Michael Swain
Michigan State University University of Chicago

Michael G. Thomason Daphna Weinshall
University of Tennessee Hebrew University of Jerusalem

Program Chairs:
Linda Shapiro & Steven Tanimoto, University of Washington


====================
Associated Workshops
====================

Monday, June 20
Pattern and Shape Matching in Computational Biology
For information, contact: Andrea Califano (acal@watson.ibm.com) and Isidore
Rigoutsos (rigoutso@watson.ibm.com)
To register, see registration form.

Monday, June 20
Workshop on the Role of Functionality in Object Recognition
For information, contact: Azriel Rosenfeld (ar@alv.umd.edu) and Kevin Bowyer
(kwb@csee.usf.edu)
To register, see registration form.

Friday, June 24
Workshop on Visualization and Machine Vision
For information, contact: Ravi Rao (rao@watson.ibm.com) and Ramesh Jain
(jain@ece.ucsd.edu)
To register, see registration form.

Friday, June 24 - Saturday, June 25
Workshop on Biomedical Image Analysis
For information, contact: Raj Acharya (acharya@eng.buffalo.edu), Thomas
Huang (huang@uicsl.csl.uiuc.edu) and Dmitry Goldgof (goldgof@csee.usf.edu)
To register, see registration form.

Sunday, June 19
Workshop on Visual Behaviors
For information and to register, contact: Worthy Martin
(martin@virginia.edu), Department of Computer Science, University of
Virginia, Thornton Hall, Charlottesville, Virginia 22903-2442, U.S.A.

Friday June 24 - Saturday, June 25
Workshop on Performance Versus Methodology in Computer Vision
For information and to register, contact: Peter Meer and Robert H. Haralick,
meer@caip.rutgers.edu and haralick@ptah.ee.washington.edu

==============
CVPR Tutorials
==============

Sunday, June 19
1:00 - 5:00 pm
Shape and Image Representation for Recognition: Geometric Deformations,
Scale, and Nonlinear Diffusion
Instructor: Benjamin B. Kimia, Brown University

A general framework for representing shape and images based on differential
geometeric deformations of them is represented for the purpose of object
recognition. This framework embeds notions of skeleltons but includes
classification of points AND a notion of significance, doing away with
classical noise problems there. Another topic is mathematical morphology
which is also a special case under this framework. We will present numerical
algorithms for very robust decompositions of industrial and biomedical shapes
into functional parts. In addition, the deformable contours are exellent
alternatives for snakes. We will show how this can be generalized
to three-dimensional deformations and the resulting scale-space for surface
estimates and images.

Sunday, June 19
1:00 - 5:00 pm
Applications of Neural Networks in Signal and Image Processing
Instructor: Nasser M. Nasrabadi, SUNY at Buffalo

This course is designed for engineers interested in exploring the applications
of ANNs to signal and image processing. Topics will include human visual
system, visual cortex, study of neurons receptive fields, multi-layer networks,
time delay neural network, radial basis function, Kohonen feature maps,
Hopfield neural network, simulated annealing for global optimization techniques.
Applications of ANNs includes stereo vision, motion analysis, surface
interpolation, image restoration, image segmentation, object recognition,
optical character recognition, recognition of handwritten English words,
image compression, non-linear predictions and robotics applications.

Monday, June 20
8:00 am - 12 noon
Biomedical Image Processing
Instructor: Raj Acharia, SUNY at Buffalo

In this tutorial, we will briefly review the various Medical Imaging
Modalities such as MRI, CT and PET. We will also provide an overview of the
key problems in Biomedical Image Analysis. We will review problems in Mul
tiresolution Texture Analysis for Bone Tissue Characterization,
Segmentation, Motion Analysis, Physiological/Functional Models and
Multimodality Imaging.

Monday, June 20
8:00 am - 12 noon
Document Understanding
Instructor: Sargur N. Srihari, CEDAR, SUNY at Buffalo
Monday, 6/20/94

This tutorial will cover principles of document analysis, recognition and
understanding. Both handwriting and machine-print recognition will be
reviewed. Transition of research algorithms into real-time systems will be
described.

Monday, June 20
8:00 am - 12 noon
Three-dimensional object recognition
Instructor: Patrick Flynn, Washington State University

This tutorial will explore each of the logical modules of
model-based 3D object recognition systems. We will briefly survey the state
of the art in 3D imaging sensors, explore image features commonly used for
3D vision and methods for their extraction from imagery, address 3D modeling
techniques, and present a number of poular strategies for matching image
features to stored models.

Monday, June 20
1:00 - 5:00 pm
Visual Databases and Multimedia
Instructor: Ramesh Jain, University of California at San Diego

In many applications, a large volume of image and video data must be,
organized to allow efficient retrieval of information. The queries in such,
databases will use alphanumeric and multimedia entities. In this tutorial,
we will discuss techniques for database management systems that can answer
content queries in databases containing video, graphics, images, and other
non-alphanumeric data.

Monday, June 20
1:00 - 5:00 pm
Statistical Pattern Recognition
Instructor: Anil Jain, Michigan State University

Pattern recognition techniques are computer-based procedures for
automatically classifying objects and making decisions. Commercial pattern
recognition systems exist for printed text, blood cells, fingerprints, voice
recognition, and word recognition. Most industrial machine vision systems
employ pattern recognition to identify objects for sorting, inspection and
assembly. The objective of this tutorial is to introduce fundamental methods
of statistical pattern recognition with examples from several application
areas.

Monday, June 20
1:00 - 5:00 pm
Mathematical Morphology
Instructor: Robert Haralick, University of Washington

This tutorial will visually illustrate the basic principles of Mathematical
Morphology. Binary and gray scale dilation, erosion, opening, and closing
will be covered as well as the opening and closing transforms which use
recursive morphology. Applications in shape extraction, document image
analysis, and noise cleaning will be shown.

===========================================
CVPR 94 Registration Form - Register Today!
===========================================

To register, just send this form to:
CVPR 94 Registration, IEEE Computer Society, 1730 Massachusetts Ave., N.W.,
Washington, DC 20036-1992; FAX (202)728-0884. For information call
(202) 371-1013 (sorry, no phone registrations).

please type or print

Name ________________________________________________________________
Last/Family First Middle Badge Name

Company ________________________________________________________________

Address/Mailstop __________________________________________________________

City/State/Zip/Country ___________________________________________________

Daytime Phone _____________________ FAX Number ___________________________

IEEE/CS Membership Number _________________________________________________
(required for member discount)

Do you have any special needs? ____________________________________________

Tutorial Registration--June 19 & June 20
(please check the tutorial(s) you wish to attend):

___ Shape and Image Representation for Recognition
___ Applications of Neural Networks in Signal and Image Processing
___ Biomedical Image Processing
___ Document Understanding
___ Three-Dimensional Object Recognition
___ Visual Databases and Multimedia
___ Statistical Pattern Recognition
___ Mathematical Morphology

Tutorial Registration Fees
(price is per tutorial--please check appropriate fee)
Advance (until 5/20/94) Late (after 5/20/94)
Member $140 $170
Nonmember $175 $215

Workshop Registration
(price is per workshop--please check appropriate workshop and fee)
___ Pattern and Shape Matching in Computational Biology--June 20
Advance (until 5/20/94) Late (after 5/20/94)
Member $110 $130
Nonmember $135 $160
Student $50 $50

___ Workshop on the Role of Functionality in Object Recognition--June 20
Advance (until 5/20/94) Late (after 5/20/94)
Member $50 $60
Nonmember $60 $75
Student $50 $60

___ Workshop on Visualization and Machine Vision--June 24
Advance (until 5/20/94) Late (after 5/20/94)
Member $95 $120
Nonmember $120 $150
Student $40 $50

___ Workshop on Biomedical Image Analysis--June 24-25
Advance (until 5/20/94) Late (after 5/20/94)
Member $125 $150
Nonmember $150 $180
Student $60 $80

Conference Registration--June 21-23 (please check appropriate fee)
Advance (until 5/20/94) Late (after 5/20/94)
Member $325 $390
Nonmember $410 $490
Student $105 $125

Total Enclosed (in U.S. dollars) $ __________
Payment must be enclosed. Please make checks payable to IEEE Computer
Society. All payments must be in U.S. dollars, drawn on U.S. banks.

Method of Payment Accepted
Personal Check Company Check Traveler's Check VISA
MasterCard American Express Diners Club
Purchase Order (U.S. organizations only--must accompany registration form)

Card Number ___________________________________________________________

Expiration Date _______________________________________________________

Cardholder Name _______________________________________________________

Signature _____________________________________________________________

Do not include my mailing address on:
___ Non-society mailing lists ___ Meeting Attendee lists

Registration fees include conference and/or tutorial and/or workshop
attendance and refreshments at breaks. Conference fee also includes the
conference reception, one copy of the conference proceedings and, for
non-student registrants, the conference banquet (student registrants may
purchase banquet tickets on site). Workshop fees include workshop
Visualization and Machine Vision, and Biomedical Image Analysis. We reserve
the right to cancel a tutorial or workshop due to insufficient participation
or other unforeseeable problems.

Written requests for refunds must be received in the IEEE Computer Society
office no later than 5/20/94. Refunds are subject to a $50 processing fee.
All no-show registrations will be billed in full. Students are required to
show current picture ID cards at the time of registration. Registrations
after 5/27/94 will be accepted on-site only.

NONMEMBERS: Join the Computer Society today and register at the member rate!
You'll also receive many other benefits. Call the Membership Department
today at (714) 821-8380.

If you are unable to attend this year's conference, you can order the
proceedings by calling 1-800-CS-BOOKS.

=================
Hotel Information
=================

The Seattle Westin is located in downtown Seattle within easy walking
distance of many restaurants and tourist attractions.

Transportation to the Seattle Westin from the Seattle-Tacoma Airport can be
booked through Gray Line Coach at the airport. The current price is $12 for
roundtrip transportation. A taxi from the airport to the hotel will cost
approximately $28 one way.

The CVPR conference rate for rooms at the Seattle Westin hotel will be $96
for a single and $111 for a double, plus taxes. The current tax rate is
15.2%. To obtain the conference rates at the Seattle Westin, make your
reservation by Monday May 30 at 5:00 pm Pacific time and mention that you
are attending CVPR. Reservations made after this date will be accepted by
the hotel on a "space available" basis. All major credit cards are accepted
by the hotel.

To make your reservation contact the hotel directly:
The Westin Hotel
1900 Fifth Avenue
Seattle, WA 98101
Phone: (206) 728-1000
Fax: (206) 728-2007

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

Date: Fri, 18 Mar 1994 19:11:57 GMT
From: peters%felix@uunet.uu.net (Richard Peters)
Organization: U.S. Army Night Vision & Electronic Sensors
Subject: CFP (rev.): Joint ATR Systems and Technology Conf. IV & IU Workshop
Keywords: object/target recognition, image understanding

JOINT
AUTOMATIC TARGET RECOGNIZER
SYSTEMS AND TECHNOLOGY CONFERENCE IV
and
IMAGE UNDERSTANDING WORKSHOP

November 14-17, 1994 Monterey, CA

NOTE: Revised point of contact for information and abstract due date.

ANNOUNCEMENT:

The Fourth Automatic Target Recognizer (ATR) Systems and Technology
Conference will be held concurrently with the Image Understanding (IU)
Workshop at the Naval Postgraduate School and Hyatt Regency Hotel in
Monterey, CA, November 14-17, 1994. Since target/object recognition is
a key objective of both groups, for military as well as commercial
applications, this conference has a theme of "Cooperative Development."

The Joint Conference will minimize overlap between the ATR and IU
sessions to facilitate participation in both conferences. Civilian
and Military leaders will give key speeches about operational
applications and emerging technologies of interest to both groups.
Some ATR sessions will be SECRET NOFORN.

SPONSORED BY:
Advanced Research Projects Agency
Joint Directors of Laboratories
Army Night Vision and Electronic Sensors Directorate
Air Force Wright Laboratory
Naval Air Warfare Center, China Lake

CALL FOR PAPERS:

The ATR Systems and Technology Conference Committee is soliciting
original unclassified and classified (through SECRET NOFORN) papers in
the following areas. (Papers to be published in the 1994 IU proceedings
will be solicited separately.)

- Target Recognition and Identification
- Target Detection and Tracking
- Phenomenology-based Algorithms
- Evaluation Methodologies
- Data Synthesis and Characterization
- Multisensor Database Management
- Man-Machine Interfaces
- Moving, Time-critical, and Hidden Targets
- Multisensor Processing
- ATR Systems

Submit an unclassified abstract that concisely describes your paper
(300 words or fewer); also include the classification level of the
paper, lead author, co-authors, industry and/or government
organization, mailing address, E-Mail address, phone and FAX numbers.
By submitting an abstract to this conference, you are committing your
paper exclusively to this conference, should it be accepted.

Abstracts postmarked no later than APRIL 20, 1994 should be sent to
Annette Bergman at this address:
Commander
Code C2158 Attn: A. Bergman Abstracts due
NAVAIRWARCENWPNDIV APRIL 20, 1994
1 Administration Circle
China Lake, CA 93555-6001.
Lead authors will be notified of acceptance or regret by May 20, 1994.


Mr. Mike Bazakos Ms. Annette Bergman
Honeywell Technology Center Naval Air Warfare Center
ATR Co-Chairperson ATR Co-Chairperson

For information contact Prof. Bir Bhanu
Mrs. Maria Sproul Univ. of California Riverside
Naval Air Warfare Center IU Liason
China Lake, CA
(619) 939-3531
maria_sproul@cl_63smtp_gw.chinalake.navy.mil

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

Date: Mon, 14 Mar 1994 17:01:56 +0000 (GMT)
From: C A Gill <sta6cag@gps1.leeds.ac.uk>
Subject: Workshop

FIRST NOTICE 14th LEEDS STATISTICAL RESEARCH WORKSHOP FIRST NOTICE
JULY 11 - 13, 1994

MEDICAL IMAGING: SHAPE AND VISUALISATION

Keynote lectures:
Professor Stephen M. Pizer, University of North Carolina, USA will present
papers on core-based image analysis as applied to medical image
registration, object definition and deformation calculation.

Other contributions:
There will be talks from other contributors, including Dr D.J.Hawkes
(Radiological Sciences, Guys Hospital, London), Professor
D.C. Hogg (Computer Studies), Professor K.V. Mardia (Statistics), and
Professor M. Smith, (Medical Physics), Leeds, and a poster session.

This workshop is sponsored by the Department of Statistics and the
Centre of Medical Imaging Research (COMIR), University of Leeds.

If you would like to present a short talk or a poster, or just to come
along to the workshop then for more details contact
Dr. Christine Gill, Department of Statistics,
University of Leeds, Leeds LS2 9JT.

telephone - Leeds (0532) 335157 email - c.a.gill@uk.ac.leeds

CLOSING DATE FOR CONTRIBUTIONS - FRIDAY 6TH MAY 1994

CLOSING DATE FOR BOOKINGS - FRIDAY 17TH JUNE 1994



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

End of VISION-LIST digest 13.13
************************

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