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

Author: Martial Hebert; National Science Foundation.; United States. Department of Defense.
Publisher: Berlin ; Heidelberg [u.a.] : Springer, 1995.
Series: Object representation in computer vision, [1]; Lecture notes in computer science, 994.
Edition/Format:   Print book : Conference publication : English
Publication:Object Representation in Computer Vision.
Database:WorldCat
Summary:

This work contains proceedings from the NSF-ARPA Workshop on Object Representation in Computer Vision, held in New York City, USA, in December 1994. The papers offer a view of the state of the art in  Read more...

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Genre/Form: Conference proceedings
Material Type: Conference publication
Document Type: Book
All Authors / Contributors: Martial Hebert; National Science Foundation.; United States. Department of Defense.
ISBN: 3540604774 9783540604778
OCLC Number: 312303730
In: Hebert, Martial
Description: VIII, 359 S. : Ill., graph. Darst.
Contents: Report on the 1995 workshop on 3-D object representations in computer vision.- Object recognition: The search for representation.- Appearance-based 3D object recognition.- Using quasi-invariants for automatic model building and object recognition: An overview.- Object representation for recognition-by-alignment.- Distinctive representations for the recognition of curved surfaces using outlines and markings.- The epipolar parametrization.- Using two-dimensional models to interact with the three-dimensional world.- Representations for recognizing complex curved 3D objects.- On representation and invariant recognition of complex objects based on patches and parts.- Algebraic geometry and object representation in computer vision.- Discrete surface signal processing: The polygon as the surface element.- Spline representations in 3-D vision.- Triangles as a primary representation.- Body-centered representation and perception.- The challenge of generic object recognition.- A physics-based framework for segmentation, shape and motion estimation.- Modal represenations.- Time representation of deformations: Combining vibration modes and Fourier analysis.- Physics in a fantasy world vs robust statistical estimation.- Towards a robust physics-based object recognition system.- Toward non-parametric digital shape representation and recovery.- Spherical representations: From EGI to SAI.- From physics-based representation to functional modeling of highly complex objects.
Series Title: Object representation in computer vision, [1]; Lecture notes in computer science, 994.
Responsibility: Martial Hebert ... (eds.).
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