THE PROGRAM
PROGRAM SUMMARY
SUNDAY, NOVEMBER 19
08:00 - 08:20 Introduction
08:30 - 09:50 1A: Optical Flow I; 1B: Matching / Stereo
09:50 - 10:15 Coffee Break
10:15 - 11:55 2A: Motion I; 2B: Object Recognition I
11:55 - 01:45 Lunch Break
01:45 - 03:25 3A: Low-level Vision I; 3B: CAD-based Vision
03:25 - 03:45 Coffee Break
03:45 - 05:25 4A: Stereo; 4B: Deformable Models
06:15 - 07:45 Reception
MONDAY, NOVEMBER 20
08:30 - 09:50 5A: Motion II; 5B: Systems and Applications
09:50 - 10:15 Coffee Break
10:15 - 11:55 6A: Tracking; 6B: Segmentation and Grouping I
11:55 - 01:45 Lunch Break
01:45 - 03:25 7A: Active Vision I; 7B: Aerial Image Anaylysis
03:25 - 03:45 Coffee Break
03:45 - 05:25 8A: Low-level vision II; 8B: Object Recognition II
06:00 - 07:00 Open Bar
07:00 - 09:00 Banquet Dinner
TUESDAY, NOVEMBER 21
08:30 - 09:50 9A: Optical Flow II; 9B: Integration / Texture
09:50 - 10:15 Coffee Break
10:15 - 11:55 10A: Active Vision II; 10B: Object Recognition III
11:55 - 01:45 Lunch Break
01:45 - 03:25 11A: Motion III; 11B: Segmentation and Grouping II
DETAILED PROGRAM
1A Optical Flow I
Dense Structure from a Dense Optical Flow Sequence
- - Y. Xiong, S. A. Shafer, Carnegie Mellon University
Equivalence of Subpixel Motion Estimators Based on Optical Flow
and Block Matching
- - C. Q. Davis, Z. Z. Karu, D. M. Freeman, M.I.T
A Motion Computation and Interpretation Framework for
Oceanographic Satellite Images
- - I. Cohen, I. L. Herlin, INRIA
Computation of Optical Flow and its Derivatives from Local
Differential Constraints
- - M. Tistarelli, U. of Genoa
1B Matching / Stereo
View Organization and Matching of Free-Form Objects
- - C. Dorai, A. K. Jain, Michigan State University
Matching Deformed Delaunay Triangulations
- - A. M. Finch, E. R. Hancock, Univ. of York.
Scaled Euclidean 3D Reconstruction Based on Externally
Uncalibrated Cameras
- - Z. Zhang, A. R. Hanson, University of Massachusetts
Coupled, Multi-resolution Stereo and Motion Analysis
- - C. Kambhamettu, K. Palaniappan, A. F. Hasler, NASA/Goddard Space Flight Center
2A Motion I
Markers Elucidated and Applied in Local 3-Space
- - F. Z. Brill, W. N. Martin, T. J. Olson, U. of Virginia
Iso-distortion Contours and Egomotion Estimation
- - L. Cheong, Y. Aloimonos, University of Maryland
3D Motion Representations in Visual Servo Control
- - C. Fermuller, L. Cheong, Y. Aloimonos, University of Maryland
Epipolar Parameterization for Reconstructing a 3D Rigid Curve
- - C. Zhao, R. Mohr, LIFIA-INRIA
Structure and Motion from a Sparse Set of Views
- - M. S. Lee, G. Medioni, University of Southern California, R. Deriche, INRIA
2B Object Recognition I
Line Feature-Based Recognition Using Hausdorff Distance
- - X. Yi, O. C. Camps, The Pennsylvania State University
Efficient Content-Based Image Retrieval Using Automatic Feature
Selection
- - D. L. Swets, J. J. Weng, Michigan State University
Recognition by Matching Dense, Oriented Pixels
- - C. F. Olson, D. P. Huttenlocher, Cornell University
Computing Invariants Using Elimination Methods
- - D. Kapur, T. Saxena, State U. of New York, Albany, Y. N. Lakshman, Drexel Univ.
Scene Analysis Using Appearance-Based Models and Relational Indexing
- - M. S. Costa, L. G. Shapiro, University of Washington
3A Low-level Vision I
Image Filter Design for Fingerprint Enhancement
- - T. Kamei, M. Mizoguchi, NEC Corporation
Discontinuity Preserving Surface Reconstruction through
Global Optimization
- - N. M. Vaidya, K. L. Boyer, Ohio State University
Digital Geometric Invariance and Shape Representation
- - Ari Gross, Graduate Center and Queens College, CUNY, Login Latecki, U. of Hamburg
Digitization Constraints that Preserve Topology and Geometry
- - Login Latecki, U. of Hamburg, Ari Gross, Graduate Center and Queens College, CUNY
Fast LoG Filtering Using Recursive Filters
- - J. Gao, J. S. Jin, University of New South Wales
3B CAD-based Vision
Morphological Multiscale Representation for Boundaries and Surfaces
- - D. Zhao, X. Zhang, University of Michigan-Dearborn
A Complete System for Recovery of 3D Shapes from Engineering Drawings
- - P. Devaux, D. B. Lysak Jr., C. P. Lai and R. Kasturi, Pennsylvania State University
Using Geometric Hashing with Information Theoretic Clustering
for
Fast Recognition from a Large CAD Modelbase
- - K. Sengupta, K. L. Boyer, Ohio State University
On the Selection of Candidates for Point and Line Correspondences
- - S. Lanser, T. Lengauer, Technische Universitat Munchen
High-Level surface Descriptions from Composite Range Images
- - V. Sequeira, J. G. M. Goncalves, European Commision, Joint Research Center.
- - M. I. Ribeiro, Instituto Superior Tecnico, Lisbon
4A Stereo
Dynamic Camera Calibration
- - C. T. Huang, O. R. Mitchell, University of Missouri, Rolla
Robust Stereo Analysis
- - K. Palaniappan, A. F. Hasler, NASA/Goddard Space Flight Center;
- - Y. Huang, X. Zhuang, University of Missouri, Columbia
Segment-Based Structure from an Imprecisely Located Moving Camera
- - J. M. Martinez, L. Montano, Univeristy of Zaragoza; Z. Zhang, INRIA
Stereo Disparity from Multiscale Processing of Local Image Phase
- - T. Y. Chen, A. C. Bovic, University of Texas, Austin
Using Partial Shape Knowledge for Stereo Reconstruction
- - W. Zhao, N. Nandhakumar, University of Virginia
4B Deformable Models
Representation of Deformable Object Structure and Motion for
Autonomous
Manipulation Using Relative Elasticity
- - P. W. Smith, N, Nandhakumar, A. K. Ramadorai, University of Virginia
Robust and Accurate Image Segmentation Using Deformable
Templates in Scale Space
- - R. J. Qian, T. S. Huang, University of Illinois at Urbana-Champaign
Using a Deformable Surface Model to Obtain a Shape
Representation of the Cortex
- - C. Davatzikos, R. N. Bryan, Johns Hopkins University
Coordinate Transformation in 3D Image Matching by a Physics
Based Method-
Elastic Body Splines
- - M. H. Davis, A. Khotanzad, Southern Methodist University;
- - D. P. Flamig, S. E. Harms, Baylor Univ. Medical Canter
Matching and Recognition Using Deformable Intensity Surfaces
- - C. Nastar, A. Pentland, M.I.T.
5A Motion II
Learning Visual Behavior for Gesture Analysis
- - A. W. Wilson, A. F. Bobick, M.I.T.
Describing Motion for Recognition
- - J. Little, J. Boyd, University of British Columbia
A Parallel Feature Tracker for Extended Image Sequences
- - R. Szeliski, S. B. Kang, Digital Equipment Corporation; H. Shum,
CMU
Recognizing Functionality
- - Z. Duric, U. of Maryland; J. Fayman, E. Rivlin, Isreal Inst. of Technology
5B Systems and Applications
3-D Model-based Tracking of Human Upper Body Movement: A
Multi-View Approach
- - D. M. Gavrila, L. S. Davis, University of Maryland
A Central Axis Algorithm for 3D Bronchial Tree Structures
- - C. Pisupati, L. Wolff, W. Mitzner, E. Zerhouni, Johns Hopkins University
Real-Time American sign Language Recognition from Video Using
Hidden Markov Models
- - T. Starner, A. Pentland, M.I.T.
Classification of Coal Images by a Multi-Scale Segmentation Techniques
- - J . Dehmeshki, M. F. Daemi, N. J. Miles, B. P. Atkin and R. E. Marston,
- - University of Nottingham
6A Tracking
Feature Guided Pixel Matching and Segmentation in Motion
Image Sequences
- - R. Charan, N. Ahuja, University of Illinois at Urbana-Champaign
Tracking 2D Structures Using Perceptual Organizational Principles
- - S. Sarkar, University of South Florida
Point Correspondence In Unstructured Nonrigid Motion
- - S. Kumar, M. Sallam, D. Goldgof, K. W. Boywer, University of South Florida
Tracking of Convex Objects
- - B.A. Parvin, S. Viswanathan, Lawrence Berkeley Laboratory
Tracking Medical 3D Data with a Parametric Deformable Model
- - E. Bardinet, INRIA; L. D. Cohen, Universite Paris; N. Ayache, INRIA.
6B Segmentation and Grouping I
2D Segmentation from Fovea Images Based on Eigen-subspace Learning
- - Y. Cui, J. Weng, Michigan State University
3D Part Segmentation: A New Physics-Based Approach
- - Kenong Wu, Martin D. Levine, McGill University.
Appropriate-scale Local Centers: A Foundation for Parts-based
Recognition
- - J. B. Burns, H. K. Nishihara, S. J. Rosenschein, Teleos Research
Range Image Segmentation: The User's Dilemma
- - A. Hoover, G. Jean-Baptiste, D. Goldgof, K. W. Boywer, U. of South Florida
- - P. J. Flynn, Washington State University; X. Jiang, H. Bunke, U. of Bern
Range Segmentation Using Focus Cues
- - C. Yim, A. C. Bovic, University of Texas at Austin
7A Active Vision I
Visual Servoing in ISAC, A Decentralized Robot System for
Feeding the Disabled
- - M. Bishay, M. E. Cambron, K. Negishi, R.A. Peters II, K. Kawamura, Vanderbilt Univ.
A Novel Method to Calculate Looming Cue for Threat of Collision
- - K. Joarder, D. Raviv, Florida Atlantic University
Vision-Based Fuzzy Controllers for Navigation Tasks
- - S. Kundur, D. Raviv, Florida Atlantic University
Robust Real-time Lane and Road Detection in Critical Shadow Conditions
- - A. Broggi, Universita di Parma
Autonomous Navigation Through Case-Based Learning
- - J. J. Weng, S. Chen, Michigan State University
7B Aerial Image Anaylysis
Relational Matching with Stochastic Optimisation
- - A. D. J. Cross, E. R. Hancock, University of York
Model-Based Aircraft Recognition in Perspective Aerial Imagery
- - S. Marouani, A. Huertas, G. Medioni, University of Southern California
3D Descriptions of Buildings from an Oblique View Aerial Image
- - C. Lin and R. Nevatia, University of Southern California
Including Interaction in an Automated Modelling System
- - S. Heuel, R. Nevatia, University of Southern California
Building Wide Area 2-D Site Models from High Resolution Fully
Polarimetric
Synthetic Aperture Radar Images
- - S. Kuttikkad, R. Chellappa, University of Maryland
8A Low-level vision II
Driving Vision by Topology
- - C.A. Rothwell, INRIA, J. L. Mundy, W. Hoffman, V.D. Nguyen, GE CRD.
Weighted-Fitting-Based Adaptive filtering of Images
- - B. Li, D. Zhao, University of Michigan-Dearborn
Experiments in Semiautonomous Registration of Disparate Spatial
Data: Two New Techniques and a Model for Comparison
- - N. Vaidya, K. Sengupta, B. Wen and K. Boyer, Ohio State University
Estimating 3-D Body Parameters from Reflection Component
Separating Imagery:
A Performance Analysis
- - J.C. Glas, F. van der Heijden, University of Twente
Reduction of Rank-Reduced Orientation-from-Color Problem with
Many Unknown Lights to Two-Image Known-Illuminant Photometric Stereo
- - M. S. Drew, Simon Fraser University.
8B Object Recognition II
Disambiguation Techniques for Recognition in Large
Databases and for
Under-constrained Reconstruction
- - Daphna Weinshall and M. Werman, The Hebrew University of Jerusalem.
Pose Estimation of Multi-Part Curved Objects
- - M. Zerroug, R. Nevatia, U. of Southern California
Geometric Shock-Capturing ENO Schemes for Subpixel
Interpolation,
Computation, and Curve Evolution
- - K. Siddiqi, B. B. Kimia, C. W. Shu, Brown University
Non-parametric Classification Algorithm with an Unknown Class
- - B. Gorte, International Institute for Aerospace Survey and Earth Sciences;
- - N. Gorte-Kroupnova, University of Twente
On the Speed and Accuracy of Object Recognition When Using
Imperfect Grouping
- - C. F. Olson, Cornell University
9A Optical Flow II
Robust and Efficient Algorithms for Optical Flow Computation
- - S. H. Lai, B. C. Vemuri, University of Florida
The Information in the Direction of Image Flow
- - T. Brodsky, C. Fermuller, Y. Aloimonos, University of Maryland
Direct Recovery of Motion and Range from Images of Scenes with
Time-Varying Illumination
- - S. Negahdaripour, J. Lanjing, University of Miami
Revised Representation of Optical Flow for Dynamic
Scene Analysis
- - S. Negahdaripour, University of Miami.
9B Integration / Texture
Wavelet-based Multiresolution Stochastic Image Models
- - J. Zhang, Q. Tran, University of Wisconsin-Milwaukee
Robust Estimation of Multiple Surface Shapes from Occluded Textures
- - M. J. Black and R. Rosenholtz, Xerox Palo Alto Research Center
Quantitative Evaluation of Performance through Bootstrapping:
Edge Detection
- - K. Cho, P. Meer, J. Cabrera, Rutgers University
A Uniform Bayesian Framework for Integration
- - S. Pankanti, A. K. Jain, Michigan State University
10A Active Vision II
Exploring Objects By Invariant-Based Tangential Viewpoint Control
- - K. K. Kutulakos, M. Jagersand, University of Rochester
A Space-Variant Approach to Oculomotor Control
- - E. Grosso, R. Manzotti, R. Tiso, G. Sandini, U. of Genova
Slow Visual Search in a Fast-changing World
- - W. S. Gribble, University of Texas at Austin
Visual Space Task Specification, Planning and Control
- - M. Jagersand, R. Nelson, University of Rochester
An Image-Based Visual Threat Cue for Autonomous Navigation
- - S. Kundur, D. Raviv, Florida Atlantic University
10B Object Recognition III
Demonstrating Polynomial Run-time Growth for Local Search Matching
- - J. R. Beveridge, Colorado State Univ.; E. R. Riseman, U. of Massachusetts;
- - C. R. Graves, Colorado State Univ.
Where to Look Next in 3D Object Search
- - Y. Ye, J. K. Tsosos, University of Toronto
Object Locating Using a Single Model View
- - R. Chung, The Chinese University of Hong Kong
An Eigenspace Update Algorithm for Image Analysis
- - B. S. Manjunath, S. Chandrasekaran, Y. F. Wang, Univ. of California, Santa Barbara
Reasoning Strategies for 3D Object Detection
- - F. Sandakly, G. Giraudon, INRIA
11A Motion III
A Moving Object Extraction Method Robust Against Illumination
Level Changes for a Pedestrian Counting System
- - M. Tsuchikawa, A. Sato, H. Koike, A. Tomono, Nippon Telegraph and Telephone Corp.
Understanding pople Pointing: The Perseus System
- - R. E. Kahn, M. J. Swain, University of Chicago
Fuzzy Belief and Scene Interpretation
- - S. Dance, Z. Liu, U. of Melbourne.
Vehicle Segmentation Using Deformable Templates
- - M.-P. Dubuisson, Siemens Corporate Research;
- - S. Lakshmanan, U. of Michigan, Dearbon, A. K. Jain, Michigan State University.
Motion-Model-Based Boundary Extraction
- - H. Liu, T-H. Hong, M. Herman, NIST, Intelligent Systems Division
- - R. Chellappa, U. of Maryland
11B Segmentation and Grouping II
Segmentation, Grouping and Feature Detection for Face Image Analysis
- - T. Nguyen, T. Huang, University of Illinois at Urbana-Champaign
Inference of Surfaces, 3D Curves and Junctions from Sparse 3D Data
- - G. Guy, G. Medioni, University of Southern California
Figure-Ground Segmentation Using Tabu Search
- - M. Stricker, Swiss Federal Institute of Technology; A. Leonardis, U. of Ljubljana
A Probabilistic Framework for Grouping Image Features
- - R. L. Castano and S. Hutchinson, University of Illinois at Urbana-Champaign.
Analytic Solution of Stochastic Completion Fields
- - K. K. Thornber R. L. Williams; NEC Research Institute
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