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Object Representation in Computer Vision

International NSF-ARPA Workshop, New York City, NY, USA, December 5 - 7, 1994. Proceedings

  • Conference proceedings
  • © 1995

Overview

Editors:
  1. Martial Hebert
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  2. Jean Ponce
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  3. Terry Boult
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  4. Ari Gross
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 994)

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Table of contents (24 papers)

  1. Front Matter

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  2. Report on the 1995 workshop on 3-D object representations in computer vision

    • Martial Hebert, Jean Ponce, Terrance Boult, Ari Gross
    Pages 1-18

  3. Object recognition: The search for representation

    • J. L. Mundy
    Pages 19-50

  4. Appearance-based 3D object recognition

    • Linda G. Shapiro, Mauro S. Costa
    Pages 51-63

  5. Using quasi-invariants for automatic model building and object recognition: An overview

    • Patrick Gros
    Pages 65-76

  6. Object representation for recognition-by-alignment

    • George Stockman
    Pages 77-87

  7. Distinctive representations for the recognition of curved surfaces using outlines and markings

    • David Forsyth, Andrew Zisserman, Jitendra Malik
    Pages 89-99

  8. The epipolar parametrization

    • Richard S. Weiss
    Pages 101-107

  9. Using two-dimensional models to interact with the three-dimensional world

    • Daniel P. Huttenlocher
    Pages 109-124

  10. Representations for recognizing complex curved 3D objects

    • David J. Kriegman, Jean Ponce
    Pages 125-138

  11. On representation and invariant recognition of complex objects based on patches and parts

    • David B. Cooper, Zhibin Lei
    Pages 139-153

  12. Algebraic geometry and object representation in computer vision

    • Sylvain Petitjean
    Pages 155-165

  13. Discrete surface signal processing: The polygon as the surface element

    • Gabriel Taubin
    Pages 167-175

  14. Spline representations in 3-D vision

    • Visa Koivunen, Ruzena Bajcsy
    Pages 177-190

  15. Triangles as a primary representation

    • Paul J. Besl
    Pages 191-206

  16. Body-centered representation and perception

    • Thomas O. Binford
    Pages 207-215

  17. The challenge of generic object recognition

    • Mourad Zerroug, Gérard Medioni
    Pages 217-232

  18. A physics-based framework for segmentation, shape and motion estimation

    • Dimitri Metaxas
    Pages 233-247

  19. Modal represenations

    • Alex P. Pentland, Stan Sclaroff
    Pages 249-262

  20. Time representation of deformations: Combining vibration modes and Fourier analysis

    • Chahab Nastar, Nicholas Ayache
    Pages 263-275
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About this book

This book documents the scientific outcome of the International NSF-ARPA Workshop on Object Representation in Computer Vision, held in New York City in December 1994 with invited participants chosen among the recognized experts in the field.
The volume presents the complete set of papers in revised full-length versions. In addition, the first paper is a report on the workshop in which the panel discussions as well as the conclusions and recommendations reached by the workshop participants are summarized.
Altogether the volume provides an excellent, in-depth view of the state of the art in this active area of research and applications.

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