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VISION-LIST Digest Volume 10 Issue 11
VISION-LIST Digest Thu Mar 07 14:23:09 PDT 91 Volume 10 : Issue 11
- Send submissions to Vision-List@ADS.COM
- Send requests for list membership to Vision-List-Request@ADS.COM
- Access Vision List Archives via anonymous ftp to ADS.COM
Today's Topics:
Hun(?)-Yeh-Harwood paper
More on Free connection machine
CVPR-91
Reply to "Re: Visualization '91 Meeting Annoncement" (03/04/91 15:57:
Visualization '91 Meeting Annoncement
Getting accounts on the UMIACS Parallel Processing machines
AI genealogy
----------------------------------------------------------------------
Date: Mon, 4 Mar 91 19:56:24 MST
From: peery@ranger.uwyo.edu (Alan Peery)
Subject: Hun(?)-Yeh-Harwood paper
I am trying to locate a paper by Hun (spelling may be off) Yeh and
Harwood that I believe contains a method for locating a planar object
using monocular vision.
I had the paper at one time, but it and any references to it seem to
have vanished... I checked the Rosenfeld bibliographies but I didn't see
it there.
If you do know where I might find it could you please email the
information--I need to get started soon...
Alan Peery
peery@outlaw.uwyo.edu
------------------------------
Date: 6 Mar 91 18:18:00 GMT
From: curtiss@umiacs.umd.edu (Phil J. Curtiss)
Subject: Getting accounts on the UMIACS Parallel Processing machines
Organization: University of Maryland Institute for Advanced Computer Studies
A little while ago an announcement was made regarding the
availability of University of Maryland Institute for Advanced Computer
Studies (UMIACS) Parallel Processing Lab resources. Since then, many people
have shown interest in gaining access to these resources. Below, you will
find a brief summary of what must be submitted to get accounts and start
using the lab's machines. More information than what is summarized below
may be required of you depending on your specific needs (disk space,
reserved time on a given machine, how many users from one site, etc.).
To get an account on machines within the UMIACS Parallel Processing
Lab, you must submit a brief abstract of the project for which you wish to
use the machines in the lab along with a list of those who will be working
on the project and those that need accounts. You must submit this request
to Mitch Murphy (the Parallel Processing Lab Manager) at the following
address mitch@umiacs.umd.edu.
As stated in the previous article, the UMIACS Parallel Processing
Lab currently operates a 16k Connection Machine and a BBN Butterfly Machine,
with hopes of acquiring other architectures in the future.
We are currently putting together a detailed document describing the
facilities of the Lab and will make it available via anonymous ftp from
ftp.umiacs.umd.edu. A list of abstracts of all the current projects in the
lab is also being assembled and will be made available via anonymous ftp
from ftp.umiacs.umd.edu. Please note that if you wish to apply for an
account on any of the lab's machines, and do *not* wish to be included in
the abstract list that is to be made available, please let us know. If you
do so, we will not place your project in the list.
Lastly, we ask that you circulate the availability of the UMIACS
Parallel Processing Lab resources to anyone you think might be interested
and might benefit from the use of the lab. Please direct any questions you
may have to either curtiss@umiacs.umd.edu or mitch@umiacs.umd.edu.
Domain: curtiss@umiacs.umd.edu Phillip Curtiss
UUCP: uunet!mimsy!curtiss UMIACS - Univ. of Maryland
Phone: +1-301-405-6744 College Park, Md 20742
------------------------------
Date: Mon, 4 Mar 91 22:23:04 PST
From: Gerard Medioni <medioni@iris.usc.edu>
Subject: CVPR-91
| The following is the most current information on IEEE Conference on |
| Computer Vision and Pattern Recognition (CVPR-91), to be held in Maui, |
| Hawaii, June 3-6. Official conference announcement and Registeration |
| forms will be sent out to IEEE members and will appear in the March |
| issue of the COMPUTER magazine. Official advanced program will be sent |
| out to IEEE members (PAMI subscribers) by the end of March. |
Hotel:
Maui Mariott is the official conference hotel. Reservations should be
made directly with the hotel at (808)667-1200. Please mention that you
are attending the IEEE CVPR-91 conference. 1-night deposit is required
within 10 days of arrangement for guaranteed reservation. Conference
rates are good from three days prior to three days after the conference.
Rates; $110 single/double $25 for each additional person.
TUTORIALS:
Registeration:
Full day:
Advanced (until May 3) IEEE Member: $225 Non-Member 270
On-site/ (after May 3) IEEE Member: $285 Non-Member 340
Half-Day
Advanced (until May 3) IEEE Member: $120 Non-Member 150
On-site/ (after May 3) IEEE Member: $145 Non-Member 185
CONFERENCE:
Registeration:
Advanced (until May 3) IEEE Member: $265 Non-Member 335 Student 120
On-site/ (after May 3) IEEE Member: $320 Non-Member 400 Student 130
Student registeration includes a copy of the proceeding, but not
the admission to the LUAU dinner show. Students or guests may purchase
tickets at site.
On-site Registeration: Sunday Afternoon 5:00 - 7:00
Monday Morning 7:00 - xxxx
IEEE Computer Society Conference on
Computer Vision and Pattern Recognition
Maui Mariott, Lahaina, Maui, Hawaii
June 3-6, 1991
GENERAL CHAIR PROGRAM CO-CHAIRS
Prof. Shahriar Negahdaripour Prof. Gerard Medioni Prof. Berthold K.P. Horn
Dept of Elect Eng Inst Robotics & Intel Sys Dept of EECS
University of Hawaii Dept of Elect Eng MIT
Honolulu, HI 96822 Univ of Southern California Cambridge, MA 02139
Los Angeles, CA 90089-0273
TUTORIALS CHAIR LOCAL ARRANGEMENTS CHAIR
Prof. Eric Grimson Professor Tep Dobry
Dept of EECS Dept of Elect Eng
MIT University of Hawaii
Cambridge, MA 02139 Honolulu, HI 96822
Tutorial Program; Monday June 3, 91
Monday Full day; 1:30 -- 5:30 pm
1) Task Based Vision:
Dr. Katsushi Ikeuchi and Dr. Chuck Thorpe, Robotics Institute,
Department of Computer Science, Carnegie-Mellon University,
Schenley Park, Pittsburgh, PA 15213
2) Architectures for Computer Vision
Dr. Jorge Sanz and Dr. Byron Dom, IBM Almaden Research Center,
Mail Stop K54, 650 Harry Road, San Jose, CA 95120-6099
Monday Half day; 8:30 - 12:30
3) Psychophysics and Computer Vision:
Dr. Heinrich Bulthoff, Cognitive & Linguistic Science Dept.
Brown University, Providence, RI 02912
Monday Half day; 1:30 - 5:30
4) Computational Geometry and Computer Vision:
Dr. Godfried Toussaint, School of Computer Science
McGill University, 3480 University St.,
Montreal, Quebec, CANADA H3A 2A7
ADVANCE PROGRAM
Tuesday, June 4, 1991
7:45 - 8:10 Welcoming and Opening Remarks
8:10 - 9:05 Invited Lecture, "TELEOLOGICAL COMPUTER GRAPHICS MODELING"
Professor Al Barr, CalTech (Computer graphics and Animation)
9:05 - 9:30 Coffee Break
9:30 - 11:15 Parallel Sessions
Session A1: Object Recognition I (2-D)
Model Group Indexing for Recognition
David T. Clemens and David Y. Jacobs
Artificial Intelligence Laboratory
Massachusetts Institute of Technology
Planar Shape Classification using Hidden Markov Model
Yang He and Amlan Kundu
State University of New York at Buffalo
Department of Electrical and Computer Engineering
Pose Clustering on Constraints for Object Recognition
Rangachar Kasturi and Chakravarthy S. Chennubhotla
Department of Electrical Engineering
The Pennsylvania State University
On the Error Analysis of "Geometric Hashing"
Hezzie Lamdan and Haim J. Wolfson
Robotics Research Laboratory
New York University
Shape Acquisition and Recognition Using High Dimensional Indices
Andrea Califano and Rakesh Mohan
IBM Thomas J. Watson Research Center
Shape Representation and Recognition from Curvature
Gregory Dudek and John Tsotsos
Research Centre for Intelligent Machines
McGill University, Canada
Session B1: Stereo and Surface Reconstruction
Surface Approximation Using Weighted Splines
Sarvajit S. Sinha and Brian G. Schunck
Department of Electrical Engineering and Computer Science
University of Michigan
Use of Monocular Groupings and Occlusion Analysis in a
Hierarchical Stereo System
ChiKit Chung and Ramakant Nevatia
Institute for Robotics and Intelligent Systems
University of Southern California
Curve-Based Stereo: Figural Continuity and Curvature
Luc Robert and Oliver D. Faugeras
Institut National de Recherche en Informatique et en Automatique, France
A Multiple-Baseline Stereo Matching Algorithm
Masatoshi Okutomi and Takeo Kanade
School of Computer Science
Carnegie Mellon University
Sampling and Reconstruction with Adaptive Meshes
Demetri Terzopoulos and Manuela Vasilescu
Schlumberger Laboratory for Computer Science
Stereopsis and Image Registration from Extended Edge Features
in the Absence of Camera Pose Information
N. M. Vaidya and Kim L. Boyer
Department of Electrical Engineering
The Ohio State University
11:30 - 1:00 Poster Session
11:15 - 2:10 Lunch break
2:10 - 3:55 Parallel Sessions
Session A2: Motion I: General
The Application of a Hybrid Tracking Algorithm to Motion Analysis
M. J. Fletcher, K. Warwick and R.J. Mitchell
Department of Cybernetics
The University, Whiteknights, England
Algorithmic Characterization of Vehicle Trajectories from Image
Sequences by Motion Verbs
D. Koller, N. Heinze and H.-H. Nagel
Institut fur Algorithmen und Kognitive Systeme
Fakultat fur Informatik der Universitat Karlsruhe, Germany
Using Stereomotion to Track Binocular Targets
Michael Jenkin
York University, Canada
Establishing Motion Correspondence
Krishnan Rangarajan and Mubarak Shah
Department of Computer Science
University of Central Florida
The Camera Stability Problem and Dynamic Stereo Vision
Saied Moezzi, Sandra L. Bartlett and Terry E. Weymouth
Artificial Intelligence Laboratory
The University of Michigan
The P-Field: A Computational Model for Binocular Motion Processing
Poornima Balasubramanyam and M. A. Snyder
Computer and Information Science Department
University of Massachusetts at Amherst
Session B2: Calibration
Finding the Aspect-Ratio of an Imaging System
Ali Bani-Hashemi
Siemens Corporate Research
Camera Models Determination Using Multiple Frames
Hsi-Jian Lee and Chin-Tsing Deng
Department of Computer Science and Information Engineering
National Chiao Tung University, Taiwan
Two Plane Camera Calibration: A Unified Model
Guo Qing Wei and Song De Ma
National Laboratory of Pattern Recognition
Institute of Automation, Chinese Academy of Sciences,
Peoples Republic of China
Relative Positioning from Geometric Invariants
Roger Mohr and Luce Morin
LIFIA-Imag, France
A Screw Approach to Uniqueness of Head-Eye Geometry
Homer H. Chen
AT&T Bell Laboratories
Comuputing Viewpoints
Konstantinos Tarabanis
Computer Science Department
Colombia University
and Roger Tsai
IBM Thomas J. Watson Research Center
3:55 -- 4:15 Break
4:15 - 5:45 Parallel Sessions
Session A3: Motion II (Navigation)
Real-Time Generation of Environmental Map and Obstacle
Avoidance Using Monidirectional Image Sensor with Conic Mirror
Yasushi Yagi and Masahiko Yachida
Department of Information and Computer Sciences
Osaka University, Japan
Multiframe-Based Identification of Mobile Components of a Scene
with a Moving Camera
Edouard Francois and Patrick Bouthemy
Institut National de Recherche en Informatique et en Automatique, France
Qualitative Detection of Motion by a Moving Observer
Randal C. Nelson
Department of Computer Science
University of Rochester
Identification and 3D Description of "Shallow" Environmental
Structure in a Sequence of Images
Harpreet S. Sawhney and Allen R. Hanson
Computer and Information Science Department
University of Massachusetts
Dynamic Stereo in Visual Navigation
Massimo Tistarelli, E. Grosso and G. Sandini
University of Genoa, Italy
Session B3: Low-Level Vision I (Edge Detection)
Adaptive Estimation of Hysteresis Thresholds
Edwin R. Hancock
Rutherford Appleton Laboratory
and Josef Kittler
Department of Electrical and Electronics Engineering
University of Surrey, United Kingdom
Segmentation By Nonlinear Diffusion
Jayant Shah
Mathematics Department
Northeastern University
Discontinuity Detection and Thresholding - A Stochastic Approach
David Lee
AT&T Bell Laboratories
and G. W. Wasilkowski
Department of Computer Science
University of Kentucky
Edge Detection Using Refined Regularization
Muhittin Gokmen and Ching-Chung Li
Department of Electrical Engineering
University of Pittsburgh
Deformable Kernels for Early Vision
Pietro Perona
Massachusetts Institute of Technology
6:00 - 7:00 Reception
7:30 PAMI Technical Committee Meeting
Wednesday, June 5, 1991
8:00 - 8:55 Invited Lecture, "REMOTE-SENSING ISSUES FOR INTELLIGENT
UNDERWATER SYSTEMS"
Dr. Ken Stewart, Deep Submergence Lab, Woods Hole
Oceanographic Institute (Sensing Technology for Subsea)
8:55 - 9:20 Coffee Break
9:20 - 11:05 Parallel Sessions
Session C1: Object Recognition II (3-D)
Closed-Form Solutions for Physically-Based Shape Modeling and
Recognition
Stan Sclaroff and Alex Pentland
The Media Laboratory
Massachusetts Institute of Technology
Structural Hashing: Efficient Three Dimensional Object Recognition
Fridtjof Stein and Gerard Medioni
Institute for Robotics and Intelligent Systems
University of Southern California
Generic Recognition Through Qualitative Reasoning About 3-D
Shape and Object Function
Louise Stark and Kevin Bowyer
Department of Computer Science and Engineering
University of South Florida
An Efficient Correspondence Based Algorithm for 2D and 3D Model
Based Recognition
Thomas M. Breuel
Artificial Intellingence Laboratory
Massachusetts Institute of Technology
Fast Affine Point Matching: An Output-Sensitive Method
Daniel P. Huttenlocher
Department of Computer Science
Cornell University
Optimal Matching of Planar Models in 3D Scenes
David W. Jacobs
Artificial Intellingence Laboratory
Massachusetts Institute of Technology
Session D1: Optical Flow
Automatic Feature Extraction Using Data Fusion In Remote Sensing
Joachim Dengler
German Cancer Research Center, Germany
Temporal Slice Analysis of Image Sequences
Shou-Ling Peng
Institute for Robotics and Intelligent Systems
University of Southern California
A Unified Computational Theory for Motion Transparency and
Motion Boundaries Based on Eigenenergy Analysis
Masahiko Shizawa and Kenji Mase
Visual Perception Laboratory
NTT Human Interface Laboratories, Japan
Robust Dynamic Motion Estimation Over Time
Michael J. Black and P. Anandan
Department of Computer Science
Yale University
Long-Range Spatiotemporal Motion Understanding Using
Spatiotemporal Flow Curves
Mark Allmen and Charles R. Dyer
Department of Computer Science
University of Wisconsin-Madison
Computing Optical Flow Distributions Using Spatio-Temporal Filters
Eero P. Simoncelli, Edward H. Edelson and David J. Heeger
The Media Laboratory
Massachusetts Institute of Technology
11:15 - 12:45 Poster Session
11:05 - 2:10 Lunch Break
2:10 - 3:40 Parallel Sessions
Session C2: Non-Rigid Motion
Measurement of Non-rigid Motion in Images using Contour Shape Descriptors
Randall L. Owen, Lawrence Staib, P. Anandan and James S. Duncan
Departments of Electrical Engineering, Computer Science
and Diagnostic Radiology
Yale University
Recovery of Non-Rigid Motion and Structure
Brad Horowitz and Alex Pentland
Massachusetts Institute of Technology
Non-rigid Motion Analysis and Epicardial Deformation Estimation
from Angiography Data
Sanjoy K. Mishra and Dmitry B. Goldgof
Department of Computer Science and Engineering
University of South Florida
Constrained Deformable Superquadrics and Nonrigid Motion Tracking
Dimitri Metaxas and Demetri Terzopoulos
Department of Computer Science
University of Toronto, Canada
Using Collinear Points to Compute Egomotion and Detect Non-rigidity
Niels da Vitoria Lobo and John K. Tsotsos
Department of Computer Science
University of Toronto, Canada
Session D2: Texture
A Linear Algorithm for Computing the Phase Portraits of
Oriented Textures
Chiao-fe Shu, Ramesh Jain and Francis Quek
Artificial Intelligence Laboratory
The University of Michigan
A Computational Model for Edge Detection and Texture Segmentation
B.S. Manjunath and R. Chellappa
Signal and Image Processing Institute
University of Southern California
A Multi-Channel Filtering Approach to Texture Segmentation
Farshid Farrokhnia
Innovision Corporation
and Anil K. Jain
Department of Computer Science
Michigan State University
Miscibility Matrices for Grayscale Textures Generated by Gibbs
Random Fields
Ibrahim M. Elfadel
Research Laboratory of Electronics
Massachusetts Institute of Technology
and Rosalind W. Picard
The Media Laboratory
Massachusetts Institute of Technology
Fractal Probability Functions and An Application to Data
Compression and Image Segmentation
Jacques Levy Vehel
Institut National de Recherche en Informatique et en Automatique, France
3:40 - 4:00 Coffee Break
4:00 - 5:30 Parallel Sessions
Session C3: Active Vision and Perceptual Grouping
A Quantitative Approach to Camera Fixation
Daniel Raviv
Robotics Center and Electrical Engineering Department
Florida Atlantic University
A Dynamic System for Object Description and Correspondence
B. Parvin
Institute for Robotics and Intelligent Systems
University of Southern California
Implementation of the Fixation Method on Real Images: Direct
Recovery of Motion and Shape in the General Case
M. Ali Taalebinezhaad
Artificial Intellingence Laboratory
Massachusetts Institute of Technology
Finding Convex Edge Groupings in an Image
Daniel P. Huttenlocher and Peter C. Wayner
Department of Computer Science
Cornell University
Vision Guided Manipulation Using an Active Camera
Jiang Yu Zheng
ATR Communication Systems Research Lab, Japan
and Qian Chen
Department of Control Engineering
Osaka University, Japan
Session D3: Low-Level Vision II: Pattern Recognition and Segmentation
Map Representations and Coding-Based Priors for Segmentation
Kenneth Keeler
AT&T Bell Laboratories
Fuzzy Algorithms to Find Linear and Planar Clusters
Raghu Krishnapuram and Chih-Pin Freg
Department of Electrical and Computer Engineering
University of Missouri
Syntactic Pattern Classification by Branch and Bound Search
Alan Y. Commike and Jonathan J. Hull
Department of Computer Science
State University of New York at Buffalo
Pattern Recognition with New Class Discovery
Inhao Chang and Murray H. Loew
Department of Electrical Engineering and Computer Science
George Washington University
Topological Segmentation of Discrete Surfaces
Gregoire Malandain, Jilles Bertrand and Nicholas Ayache
Institut National de Recherche en Informatique et en Automatique, France
5:45 - 9:15 Luau Show and Dinner
Thursday, June 6, 1991
8:00 - 8:05 Invited Lecture, "SMALL AUTONOMOUS MOBILE ROBOTS:
SENSING AND ACTION"
Professor Rodney Brooks, MIT Artificial Intelligence Lab.
9:05 - 9:20 Coffee Break
9:20 - 11:05 Parallel Sessions
Session E1: Object Recognition III (General)
Recognition and Semi-Differential Invariants
Luc Van Gool, P. Kempenaers and A. Oosterlinck
Dept. Elektrotechniek
Katholieke Universiteit Leuven, Belgium
Articulated Object Recognition, or How to Generalize the
Generalized Hough Transform
Avinoam Beinglas and Haim J. Wolfson
Department of Computer Science
Tel Aviv University, Israel
Shape Representation and Image Segmentation Using Deformable Surfaces
H. Delingette, M. Hebert and K. Ikeuchi
The Robotics Institute
Carnegie Mellon University
Efficiently Using Invariant Theory and Grouping Information for
Model-based Matching
Peter C. Wayner
Department of Computer Science
Cornell University
Modeling Polyhedra by Constraints
V. Nguyen, J. L. Mundy
Artificial Intelligence Program
General Electric Company
and D. Kapur
Department of Computer Science
State University of New York at Buffalo
MAP Model Matching
William M. Wells III
Artificial Intellingence Laboratory
Massachusetts Institute of Technology
Session F1: Architecture and Algorithms
Robust Vectorization Using Graph-Based Thinning and
Reliability-Based Line Approximation
Satoshi Suzuki and Naonori Ueda
Nippon Telegraph and Telephone Corporation, Japan
Integration of Vision Modules: A Game - Theoretic Approach
Isil Bozma and James S. Duncan
Yale University
Computer Vision Hardware Using the Radon Transform
W.B. Baringer, R. W. Brodersen
Department of Electrical Engineering and Computer Science
University of California at Berkeley
and D. Petkovic
IBM Almanden Research Center
Parallel Algorithms and Architectures for Discrete Relaxation Technique
Wei-Ming Lin and V.K. Prasanna Kumar
Department of Electrical Engineering - Systems
University of Southern California
Exact Euclidean Distance Function by Chain Propagations
Luc Vincent
Division of Applied Sciences
Harvard University
Morphological Pyramid with Alternating Sequential Filters
Aldo Morales and Raj Acharya
Department of Electrical and Computer Engineering
State University of New York at Buffalo
11:15 - 12:45 Poster Session
11:05 - 2:10 Lunch Break
2:10 - 3:40 Parallel Sessions
Session E2: Shape From Shading
Sources from Shading
Yibing Yang and Alan Yuille
Division of Applied Sciences
Harvard University
Estimation of Reflectance Map and Shape from Shading
Q. Zheng and R. Chellappa
Signal and Image Processing Institute
University of Southern California
Boundary Element Methods for Solving Poisson Equations in
Computer Vision Problems
Gary Gu and Michael A. Gennert
Computer Science Department
Worcester Polytechnic Institute
The Direct Computation of Height from Shading
Yvan G. Leclerc and Aaron F. Bobick
Artificial Intelligence Center
SRI International
Shape from Shading as a Partially Well-Constrained Problem
J. Oliensis
Computer and Information Sciences Department
University of Massachusetts at Amherst
Session F2: Pose Estimation and Face Recognition
Matching General Polygonal Arcs
Takeshi Shakunaga
NTT Human Interface Laboratories, Japan
Classification of Facial Features for Recognition
M. A. Shackleton and W. J. Welsh
Research and Technology
British Telecom Research Laboratories, England
Determining 3-D Object Pose Using the Complex Extended Gaussian Image
Sing Bing Kang and Katsushi Ikeuchi
The Robotics Institute
Carnegie-Mellon University
Face Recognition Using Eigenfaces
Matthew Turk and Alex Pentland
The Media Laboratory
Massachusetts Institute of Technology
Analysis and Solutions of The Three Point Perspective Pose
Estimation Problem
Robert M. Haralick, Chung-nan Lee
Department of Electrical Engineering
University of Washington
and Karnsten Ottenberg
Philips - Forschungslabor, Germany
and Michael Nolle
Technische Universtat Hamburg, Germany
3:40 - 4:00 Coffee Break
4:00 - 5:30 Parallel Sessions
Session E3: Depth From ...
A Matrix Based Method for Determining Depth From Focus
John Ens
School of Computer Sciences
Simon Fraser University
and Peter Lawrence
Department of Electrical Engineering
University of British Columbia, Canada
Temporal Surface Reconstruction
Joachim Heel
Artificial Intelligence Laboratory
Massachusetts Institute of Technology
How Accurately Can Direct Motion Vision Determine Depth?
E.J. Weldon Jr. and Hui Liu
Department of Electrical Engineering
University of Hawaii
A Stereoscopic Camera Employing a Single Main Lens
Edward H. Adelson and John Y. A. Wang
The Media Laboratory
Massachusetts Institute of Technology
Shape from Rotation
Richard Szeliski
Cambridge Research Laboratory
Digital Equipment Corporation
Session F3: Low-Level Vision III
Identification of Interreflection in Color Images Using a
Physics-Based Reflection Model
Younghee Jang
Pittsburgh
Optimal Contour Approximation by Dynamic Piecewise Cubic Splines
Linnan Liu, Brian G. Schunck and Charles R. Meyer
The University of Michigan
From Voxel to Curvature
Olivier Monga, Nicholas Ayache and Peter T. Sander
Institut National de Recherche en Informatique et en Automatique, France
On Corner and Vertex Detection
G. Giraudon and R. Deriche
Institut National de Recherche en Informatique et en Automatique, France
Physically-based Edge Labling
Terrance E. Boult
Department of Computer Science
Columbia University
and Lawrence B. Wolff
Department of Computer Science
Johns Hopkins University
POSTER PAPERS
The conference program will also include 45 poster sessions to be presented
for about 1:30 hours each day of the conference during the lunch breaks.
Tuesday 11:30 am - 1:00 pm
Human Motion Analysis Based on Robot Arm Model
Masanobu Yamamoto and Kazutada Koshikawa
Computer Vision Section
Electrotechnical Laboratory, Japan
Computing a Stable, Connected Skeleton from Discrete Data
Jonathan W. Brandt and V. Ralph Algazi
Computer Vision Research Laboratory
University of California, Davis
Shared Memory Multiprocessor Implementation and Evaluation of
Hough Transform Algorithm
Alok N. Choudhary and Ravi Ponnusamy
Department of Electrical and Computer Engineering
Syracuse University
An Analysis of the Probability of Disparity Changes in Stereo
Matching and a New Algorithm Based on the Analysis
Charles V. Stewart
Department of Computer Science
Rensselaer Polytechnic Institute
A Linear Generalized Hough Transform and Its Parallel Implementation
Z. N. Li, G. G. Yao and F. Tong
School of Computing Science
Simon Fraser University, Canada
Recovering Shape from Contour for Constant Cross Section
Generalized Cylinders
Fatih Ulupinar and Ramakant Nevatia
Institute for Robotics and Intelligent Systems
University of Southern California
Extracting Surfaces of Revolution by Perceptual Grouping of Ellipses
Paul L. Rosin and Geoff A. W. West
Cognitive Systems Group
Curtin University of Technology, Australia
Offline Tracing and Representation of Signatures
Jack C. Pan and Sukahan Lee
Institute for Robotics and Intelligent Systems
University of Southern California
MARVEL: A System that Recognizes World Locations with Stereo Vision
David J. Braunegg
The MITRE Corporation
Integration and Interpretation of Incomplete Stereo Scene Data
Kazuhide Sugimoto, Hironobu Takahashi
Tsukuba Research Center, Japan
SANYO Ltd.
and Fumiaki Tomita
Electrotechnical Laboratory, Japan
Dual Networks and Their Pattern Classification Properties
Ajay Patrikar
Department of Electrical Engineering
Southern Methodist University
Early Jump-Out Corner Detectors
James Cooper
Department of Computer Science
University of Western Australia, Australia
and Svetha Venkatesh
School of Computing Science
Curtin University, Australia
and Leslie Kitchen
Department of Computer Science
University of Western Australia, Australia
Modelling Solids of Revolution by Monocular Vision
J.M. Lavest, R. Glachet, M. Dhome and J. T. Lapreste
Electronics Laboratory
Blaise Pascal University of Clermont-Ferrand, France
Uncertainty Update and Dynamic Search Window for Model-Based
Object Recognition
Chien-Huei Chen and Prasanna G. Mulgaonkar
SRI International
Rapid Euclidean Distance Transform Using Grayscale Morphology
Decomposition
C. C. Tony Huang and Robert Mitchell
Department of Electrical Engineering
The University of Texas at Arlington
Wednesday 11:15 am - 12:45 pm
Multi-Dimensional Robust Edge Detection
Linnan Liu, Brian Schunck and Charles R. Meyer
Artificial Intelligence Laboratory
The University of Michigan
Object Detection Using Contrast Based Scale-Space
V. Topkar, A. Sood and B. Kjell
Department of Computer Science
George Mason University
Trajectories and Events
Susan M. Haynes and Ramesh Jain
Artificial Intelligence Lab
The University of Michgan
Shape Adaptation for Modeling of 3D Objects in Natural Scenes
C.E. Liedtke, H. Busch and R. Koch
Institut fur Theoretische Nachrichten
Technik Und InformationsVerarbeitung
Universitat Hannover, Germany
Sequences, Structure, and Active Vision
Raymond D. Rimey and christopher M. Brown
Computer Science Department
University of Rochester
A New Shape Segmentation Approach for Active Vision Systems
M.J. Aldon and O. Strauss
Laboratoire d'Automatique et de Microelectronique de Montpellier, France
Fast Segmentation of Range Images into Planar Regions
Francis Schmitt and Xin Chen
Ecole Nationale Superieure des Telecommunications, France
3D from an Image Sequence - Occlusions and Perspective
Amir Shmuel and Michael Werman
Department of Computer Science
The Hebrew University of Jerusalem, Israel
Positional Estimation of a Mobile Robot Using Edge Visibility Regions
Raj Talluri and J.K. Agggarwal
Computer & Vision Research Center
University of Texas
Gripping Information for a robot from Silhouettes
Frank Ade, Martin Peter and Markus Ilg
ETH - Zentrum
Institute for Communication Technology, Switzerland
A Neural Network Approach to CSG-Based 3-D Object Recognition
Tsu-Wang Chen and Wei-Chung Lin
Northwestern University
Department of Electrical Engineering and Computer Science
Finding Junctions Using the Image Gradient
David Beymer
Artificial Intelligence Laboratory
Massachusetts Institute of Technology
On An Analysis of Static Occlusion in Stereo Vision
Chienchung Chang, Shankar Chatterjee, and Paul R. Kube
Department of Electrical and Computer Engineeroing
University of California, San Diego
Deformable Models: Canonical Parameters for Surface
Representation and Multiple View Integration
B.C. Vemuri and R. Malladi
Computer and Information Sciences Deptartment
University of Florida
Qualitative Motion Analysis Using a Spatio-Temporal Approach
Shih-Peng Liou and Ramesh C. Jain
Artificial Intelligence Laboratory
The University of Michigan
Thursday 11:15 am - 12:45 pm
Multi-Layer Description Networks
Trevor Darrell and Alex Pentland
The Media Lab
Massachusetts Institute of Technology
Segmentation and Grouping of Object Boundaries Using Energy Minimization
Deborah Trytten and Miharan Tuceryan
Computer Science Department
Michigan State University
Estimation of Motion and Structure of Planar Surfaces from a
Sequence of Monocular Images
Sanghoon Sull and Narendra Ahuja
Department of Elecrical & Computer Engineering
University of Illinois at Urbana-Champaign
Closed-Loop Adaptive Image Segmentation
Bir Bhanu, John Ming and Sungkee Lee
Honeywell Systems and Research Center
Region Based Stereo Matching Oriented Image Processing
Sabine Randriamasy and Andre Gagalowicz
Institut National de Recherche en Informatique et en Automatique, France
Introducing Deformable Surfaces to Segment 3D Images and Infer
Differential Structures
Isaac Cohen, Laurent D. Cohen and Nicholas Ayache
Institut National de Recherche en Informatique et en Automatique, France
A Computational Framework for SIMD Algorithms to Extract and Manipulate
Martin C. Herbordt, Charles C. Weems and Michael J. Scudder
Computer and Information Sciences Department
University of Massachusetts at Amherst
Segment-Based Matching for Visual Navigation
Zhongfei Zhang, Richard Weiss and Edward M. Riseman
Computer and Information Sciences Department
University of Massachusetts at Amherst
Analyzing Skewed Symmetries
Ari D. Gross and Terrance E. Boult
Vision and Robotics Lab
Columbia University
Determining a Maximum Value Yield of a Log Using an Optical Log Scanner
Samuel C. Lee, Gen-Sheng Qian, Jan-Bon Chen and Yi-Wei Sun
School of Electrical Engineering and Computer Science
The University of Oklahoma
A Multi-Scale Approach for Recognizing Complex Annotations in
Engineering Documents
Andrew Laine,
Computer and Information Sciences Department
University of Florida
William Ball and Arun Kumar
Department of Computer Science
Washington State University
Surface and Motion Estimation from Sparse Range Data for Tele-robotics
B.C. Vemuri
Computer and Information Sciences Department
University of Florida
and G. Skofteland
Norwegian Institute of Technology
University of Trondheim, Norway
On Contour Texture
J. Brian Subirana-Vilanova
The Artificial Intelligence Laboratory
Massachusetts Institute of Technology
A Consensus Structure Inference Algorithm
David K.Y. Chiu
Department of Computing and Information Science
University of Guelph, Canada
Simplifying Discontinuity Detection with an Eye on Recognition
Ed Gamble
ATR Auditory and Visual Perception Laboratory, Japan
"Some Information about Hotel, Airline, and Rental Car Rates"
Hotel:
The conference hotel is MAUI MARIOTT on KAANAPALI RESORT. It is a very nice
and confortable hotel offering you kind HAWAIIAN hospitality. The conference
rate is $110 for single and double occupancy ($25 for each additional person),
some $50-90 lower than the lowest rates on this resort. The rate is good
from MAY 30 until JUNE 10 (12 days). Somewhat cheaper rates may be available
in Lahaina, which is about 7-10 miles south on Kaanapali resort, but I do not
think it is enough to make it worth the inconvenience of driving, parking,
etc.).
(MY SUGGESTION: Pick Mariott on Kaanapali resort. Kaanapali is THE PRIME resort
location in Hawaii, and the rate is great for this resort. This would be a
memorable trip.)
Air:
There are two airports in Maui, the INTERNATIONAL and WEST MAUI airports.
The first is within 30 minutes of the MARIOTT HOTEL. The seond is within
3 miles (about 10 minutes). Ther are free shuttle buses from and to the
hotels and WEST MAUI airport (so you do not need to take a cab or rent
a car, if you do not wish to do so). The trip from MAUI INTERNATIONAL
to MARIOTT could get bad if there is a traffic jam (created by the
tourists who stop abruptly to take pictures and may cause an accident),
since you drive on a two-lane "high-way".
Both AMERICAN and UNITED airlines fly directly (from LA, Chicago, or Dallas)
to MAUI INTERNATIONAL without stopping in HONOLULU first. You can save some
time and/or money this way. If you need to go to other islands later, you can
catch an inter-island flight on HAWAIIAN and ALOHA from MAUI. There are good
OVERNIGHTER packages (AIR+CAR+HOTEL) for about $120 single/$200 double, and
about $80 for extra day of HOTEL+CAR. These are only available once you get
in Hawaii, and available through mainland Travel agencies. Travel Partners
(see below) can help you on these.
HAWAIIAN and ALOHA airlines have flights from HONOLULU to WEST MAUI airport.
Since this is a private airport, the last flight leaves HONOLULU about 4:30pm
because of residential restrictions (I assume). You also have to pay
about $100 additional for this portion of your flight (If you fly on
AMERICAN or UNITED, the fare is the same to MAUI International or HONOLULU).
We have established some discounts (5% from discounted and 40% from regular
fares on both UNITED and AMERICAN) through TRAVEL PARTNERS Agency in
Honolulu (Ask for Theo, who knows about our arrangments). Their number is
(808) 735-6422. They also have a toll free number, (800) 933-7677, that you
can use, but I was told that the arrangement for using that phone will be a
bit inconvenient (to both you and them). They can make the flight arrangements
as well as send you your tickets via federal express.
Rental Car:
Also, we have got good rates on HERTZ RENT A CAR from both MAUI airports
(West MAUI may be slightly higher). We expect to get similar rates from AVIS
and BUDGET in the next few days (if you are the member of their clubs). You
just need to mention the conference name when making the reservation. They
prefer 6 weeks advanced reservation, but the rates are available even as late
as when you arrive at the airport. AGAIN, do your booking EARLY since you
may not get the car you want if you wait till the last minute. You can always
make changes later. These rates, which are good from a week prior to until a
week after the conference dates, are as follows:
CAR DAILY WEEKLY
Economy 24.80 98.80
Compact 26.80 108.80
Intermediate 30.80 138.80
Standard 34.80 148.80
Full Size 37.80 178.80
Sometimes rental car companies in HAWAII run promotional rates. If they
happen to have one at the time of the conference, they will give you the
better of our GROUP RATE or their PROMOTIONAL RATE.
Other cars, such as convertibles or sports cars, are available if you
ask them.
------------------------------
Date: Monday, 4 Mar 1991 16:47:45 EST
From: m20163@mwvm.mitre.org (Nahum Gershon)
Subject: Reply to "Re: Visualization '91 Meeting Annoncement" (03/04/91 15:57:
[ I asked the relevance of this posting to the Vision List readership.
The following is the reply and conference posting. phil... ]
Visualization is different things to different people. Last year at
Visualization '90 meeting, there were papers on image processing
algorithms (the input could be images and the algorithms could be
histogram equalization and volume rendering), different aspects of the
physiology of visual perception (e.g., color, texture, and shape), and
other issues relevant to computer vision. Therefore, I feel that a
good number of your subscribers might be interested in attending
Visualization '91 (I am an "image processor" myself). I would
appreciate receiving your comments on these matters. * * Nahum
CALL FOR PARTICIPATION
VISUALIZATION '91
Sponsored by IEEE Computer Society, Technical Committee on
Computer Graphics
October 22-25, 1991
San Diego, California
This second conference will continue to explore how visualization
is being used to extract knowledge from data. The conference is
concerned with all aspects of visualization, with a focus on
interdisciplinary techniques. The conference will allow a
dialogue to occur between the developers of visualization methods
and visualization users across the full spectrum of science,
engineering and business.
PAPER SUBMISSION (due April 15, 1991)
Original papers for the conference proceedings should be limited
to 5000 words. Where appropriate, the use of video as part of
the paper is strongly encouraged. Videos should be submitted for
review with papers. Contact either co-chair for information.
Four copies of each paper (and video) should be submitted to
Gregory Nielson, papers co-chair.
Paper Co-chairs:
Larry Rosenblum
Code 5157
Naval Research Laboratory
Washington DC 20375
(202) 767-2384
Gregory M. Nielson
Computer Science Department
Arizona State University
Rural Road and University
Tempe, AZ 85287-5406
(602) 965-2785
PANEL PROPOSALS (due April 15, 1991)
Proposals for panels are solicited. These should emphasize the
application of scientific visualization to problems in research,
development, demonstration, or business. The panels will be
presented in parallel with papers and the case studies during the
conference. A six page summary or position statements will be
published in the proceedings which will be available at the
conference.
Panels Co-chairs:
R. Daniel Bergeron
Department of Computer Science
University of New Hampshire
Durham, NH 03824
(603) 862-2677
Nahum D. Gershon
The MITRE Corporation
7525 Colshire Drive
McLean, VA 22102-3481
(703) 883-7518
TUTORIAL PROPOSALS (due April 15, 1991)
Proposals for full and 1/2 day tutorials (beginning & advanced)
are solicited. These will be held on Tuesday of the conference
week.
Tutorial Co-chairs:
Gary Laguna
Lawrence Livermore National Laboratory
P.O. Box 808, L-125
Livermore, CA 94550
(415)422-5659
Hikmet Senay
Dept. of Electrical Engineering & Computer Science
George Washington University
Washington, DC 20052
(202) 994-5910
INTERDISCIPLINARY CASE STUDIES (due April 15, 1991)
Proposals examining the interdisciplinary nature of
visualization, tools and real time applications are especially
solicited. These will be presented at the conference and a four
page summary will be published in the proceedings. The intent
here is to emphasize the interdisciplinary nature of most
applications of visualization.
Case Studies Co-chairs:
Paul Hazan
Applied Physics Laboratory
John Hopkins University
Laurel, MD 20707
(301) 953-5364
Jeffrey Posdamer
AT&T Bell Labs
Room 15E-315
1 Whittany Road
Whittany, NJ 07981-0903
(201) 386-6396
DEMONSTRATIONS (due June 3, 1991)
A portion of the conference will be devoted solely to
demonstrations. Research organizations and commercial companies
interested in presenting should contact the co-chairs.
Demonstrations Co-chairs:
Jerome Cox
Department of Computer Science
Washington University, Box 1045
St. Louis, MO 63130
(314) 889-6132
Susan Stearman
Digital Equipment Corporation
4 Results Way MRO4-2/H19
Marlboro, MA 01752-3070
(508) 467-3575
WORKSHOPS (due April 15, 1991)
Proposals for 1 or 2 day workshops on specific visualization
methods or the application of visualization to specific problems
areas should be sent to one of the workshop Co-Chairs. These
workshops should deal with state-of-the-art topics and involve
experts in the field. If appropriate, the workshops may be
co-sponsored by another professional organization.
Workshops Co-chairs:
Art Olson
Department of Molecular Biology MB5
Research Institute of Scripps Clinic
La Jolla, CA 92037
(619) 554-9702
Lloyd Treinish
IBM T. J. Watson Research Center
P.O. Box 704, Room SK-Y68
Yorktown Heights, NY 10598
(914) 784-5038
Conference Co-Chairs
Russell Athay, Biosym
Bruce Brown, Oracle
Program Co-Chairs
Georges Grinstein, University of Lowell
Arie Kaufman, SUNY at Stony Brook
Local Arrangements
William Feeney,San Diego State University
Virginia Hetrick, University of California, Los Angeles
Registration
Carol Hunter, Lawrence Livermore National Lab
Finance
Don Vickers, Lawrence Livermore National Lab
Publicity
Michael Danchak, Hartford Graduate Center
Jeff Beddow, University of Minnesota
Kay Howell, Naval Research Laboratory
Video
Eric Grosse, AT&T Bell Labs
Haim Levkowitz, University of Lowell
Program Committee:
Mike Bailey, San Diego Supercomputer Center
H. Harlyn Baker, SRI
Jim O'Brian, Florida State University
Susan Chipman, Office of Naval Research
George Champine, Digital Equipment Corp.
Hank Dardy, Naval Research Laboratory
Rae Earnshaw, University of Leeds, England
Jose Encarnacao, Technical University Darmstad, FRG
Jim Foley, Georgia Tech.
Thomas A. Foley, Arizona State University
Henry Fuchs, University of North Carolina
Michel Grave, ONERA, France
Hans Hagen, University Kaiserlautern, FRG
Lambertus Hesselink, Stanford University
William Hibbard, University of Wisconsin
Robert Hopgood, Rutherford Appleton Laboratory England
Dave Kamins, Stardent
Mike Keeler, Kubota
Fred Kitson, Hewlett Packard
Tosiyasu Kunii, University of Tokyo, Japan
Stanislav Klimenko, IHEP USSR
Robert Langridge, University of California at San Francisco
Marc Levoy, Stanford University
Marshall Long, Yale University
Ted Mihalisin, Temple University
Richard L. Phillips, Los Alamos National Lab
Ron Pickett, University of Lowell
Mike Rhodes, Toshiba America
Phillip Robertson, Centre for Spatial Information Systems,
Australia
Alyn Rockwood, Arizona State University
Azriel Rosenfeld, University of Maryland
David Salzman, consultant
Stuart Smith, University of Lowell
John Staudhammer, University of Florida
Ken Stewart, Woods Hole Oceanographic Inst.
Werner Stuetzle, University of Washington
Gary Watkins, Evans and Sutherland
Steve Watson, Jet Propulsion Laboratory
Val Watson, NASA Ames
Allan R. Wilks, AT&T Bell Labs
Peter Wilson, Rensselaer Polytechnic Inst.
James M. Winget, Silicon Graphics
**********************************************************************
*
* Nahum
------------------------------
Date: 6 Mar 91 21:20:32 GMT
From: velasco@kenallen.UCSD.EDU (Gabriel Velasco)
Subject: AI genealogy
As part of a graduate AI class, I will be working on a semantic network
type of database to answer qeustions about the genealogy of the AI
family of researchers. The more family members we have, the better.
We would like for everyone who has written a thesis in the area of AI
to be in the genealogy.
Minsky, McCarthy, Simon, Newell and other participents in the Dartmouth
conference are to be the patriarchs. Although they obviously decended
from lower order life forms we will not be concerning ourselves with
"missing links."
To begin we would like to have a complete list of all the participants
in the Dartmouth conference. This doesn't seem to be a trivial task.
We would greatly appreciate any help in compiling this list. We are
hoping that some of the people reading this group either participated
in the conference or had a thesis advisor or grand-advisor or
great-grand-advisor that they know for sure was at the conference.
We would also like to have lots of people supply us with their
genealogy to help us come up with a complete family tree. It should be
interesting to find out where all of you are in the tree. The
professor for this class is only two generations away from Simon
through one of his committee members and he didn't even know it until
he started doing this research.
Please take the time to fill out this form so that we can place you in
the AI family tree. The end product will be a system called BIBLIO
which will be put into the public domain. BIBLIO will be a
bibliographic database augmented with "cultural" information. We
believe that this will help us characterize important intellecutal
developments within AI. Of course, we will be able to do regular
familty tree type operations with the data such as printing out the
family tree and stuff like that.
Also, if you know some of these facts about your advisor (committee
members), and their advisors, etc., I would appreciate it if you could
send me that information as well. One of our goals is to trace the
genealogy of today's researchers back as far as possible. If you do
have any of this information, simply duplicate the questionnaire and
fill in a separate copy for each person.
I'm velasco@cs.ucsd.edu
My advisor on this is:
Richard K. Belew
Asst. Professor
Computer Science & Engr. Dept. (C-014)
Univ. Calif. - San Diego
La Jolla, CA 92093
619/534-2601
619/534-5948 (messages)
rik%cs@ucsd.edu
--------------------------------------------------------------
AI Genealogy questionnaire
Please complete and return to:
velasco@cs.ucsd.edu
NAME:
Ph.D. year:
Ph.D. thesis title:
Department:
University:
Univ. location:
Thesis advisor:
Advisor's department:
Committee member:
Member's department:
Committee member:
Member's department:
Committee member:
Member's department:
Committee member:
Member's department:
Committee member:
Member's department:
Committee member:
Member's department:
Research institution:
Inst. location:
Dates:
Research institution:
Inst. location:
Dates:
Research institution:
Inst. location:
Dates:
________________________________________________
<>___, / / | ... and he called out and said, "Gabriel, give |
/___/ __ / _ __ ' _ / | this man an understanding of the vision." |
/\__/\(_/\/__)\/ (_/_(/_/|_ |_______________________________________Dan_8:16_|
------------------------------
End of VISION-LIST digest 10.11
************************
