Object Representation in Computer Vision: International NSF-ARPA Workshop, New York City, NY, USA, December 5 - 7, 1994. Proceedings (Lecture Notes in Computer Science, 994)

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. Report On The 1995 Workshop On 3-d Object Representations In Computer Vision / M. Hebert [and Others] -- Object Recognition : The Search For Representation / J.l. Mundy -- Appearance-based 3d Object Recognition / L.g. Shapiro, M.s. Costa -- Using Quasi-invariants For Automatic Model Building And Object Recognition : An Overview / P. Gros -- Object Representation For Recognition-by-alignment / G. Stockman -- Distinctive Representations For The Recognition Of Curved Surfaces Using Outlines And Markings / D. Forsyth, A. Zisserman, J. Malik -- The Epipolar Parametrization / R.s. Weiss -- Using Two-dimensional Models To Interact With The Three-dimensional World / D. Huttenlocher -- Representations For Recognizing Complex Curved 3d Objects / D. Kriegman -- On Representation And Invariant Recognition Of Complex Objects Based On Patches And Parts / D.b. Cooper, Z. Lei -- Algebraic Geometry And Object Representation In Computer Vision / S. Petitjean -- Discrete Surface Signal Processing : The Polygon As The Surface Element / G. Taubin -- Spline Representation In 3-d Vision / V. Koivunen, R. Bajcsy -- Triangles As A Primary Representation / P.j. Besl -- Body-centered Representation And Perception / Tom O. Binford -- The Challenge Of Generic Object Recognition / M. Zerroug And G. Medioni -- A Physics-based Framework For Segmentation, Shape And Motion Estimation / Dimitri Metaxas -- Modal Representation / A. Pentland, S. Sclaroff -- Time Representation Of Deformations : Combining Vibration Modes And Fourier Analysis / C. Nastar, N. Ayache -- Physics In A Fantasy World Vs. Robust Statistical Estimation / T. Boult, S.d. Fenster -- Towards A Robust Physics-based Object Recognition System / O.i. Camps -- Toward Non-parametric Digital Shape Representation And Recovery / A. Gross, L. Latecki -- Spherical Representations : From Egi To Sai / K. Ikeuchi, M. Hebert -- From Physics-based Representations To Functional Modeling Of Highly Complex Objects / D. Terzopoulos. Martial Hebert ... [et Al.] (eds.). Includes Bibliographical References. Report on the 1995 workshop on 3-D object representations in computer vision....Pages 1-18 Object recognition: The search for representation....Pages 19-50 Appearance-based 3D object recognition....Pages 51-63 Using quasi-invariants for automatic model building and object recognition: An overview....Pages 65-76 Object representation for recognition-by-alignment....Pages 77-87 Distinctive representations for the recognition of curved surfaces using outlines and markings....Pages 89-99 The epipolar parametrization....Pages 101-107 Using two-dimensional models to interact with the three-dimensional world....Pages 109-124 Representations for recognizing complex curved 3D objects....Pages 125-138 On representation and invariant recognition of complex objects based on patches and parts....Pages 139-153 Algebraic geometry and object representation in computer vision....Pages 155-165 Discrete surface signal processing: The polygon as the surface element....Pages 167-175 Spline representations in 3-D vision....Pages 177-190 Triangles as a primary representation....Pages 191-206 Body-centered representation and perception....Pages 207-215 The challenge of generic object recognition....Pages 217-232 A physics-based framework for segmentation, shape and motion estimation....Pages 233-247 Modal represenations....Pages 249-262 Time representation of deformations: Combining vibration modes and Fourier analysis....Pages 263-275 Physics in a fantasy world vs robust statistical estimation....Pages 277-295 Towards a robust physics-based object recognition system....Pages 297-311 Toward non-parametric digital shape representation and recovery....Pages 313-325 Spherical representations: From EGI to SAI....Pages 327-345 From physics-based representation to functional modeling of highly complex objects....Pages 347-359 Computer vision programs are designed to use some form of visual data to accomplish a specific task.