Object Representation in Computer Vision: International NSF-ARPA Workshop New York City, NY, USA, December 5–7, 1994 Proceedings

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

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.

Author(s): Martial Hebert, Jean Ponce, Terrance Boult (auth.), Martial Hebert, Jean Ponce, Terry Boult, Ari Gross (eds.)
Series: Lecture Notes in Computer Science 994
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1995

Language: English
Pages: 366
Tags: Pattern Recognition; Computer Graphics; Artificial Intelligence (incl. Robotics); Systems and Information Theory in Engineering; Computer-Aided Engineering (CAD, CAE) and Design

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