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Object Representation in Computer Vision: International Nsf-Arpa Workshop, New York City, NY, USA, December 5 - 7, 1994. Proceedings

Object Representation in Computer Vision: International Nsf-Arpa Workshop, New York City, NY, USA, December 5 - 7, 1994. Proceedings (Paperback, 1995)

Martial Hebert, Terry Boult (엮은이)
Springer Verlag
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Object Representation in Computer Vision: International Nsf-Arpa Workshop, New York City, NY, USA, December 5 - 7, 1994. Proceedings
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책 정보

· 제목 : Object Representation in Computer Vision: International Nsf-Arpa Workshop, New York City, NY, USA, December 5 - 7, 1994. Proceedings (Paperback, 1995) 
· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 비전/패턴 인식
· ISBN : 9783540604778
· 쪽수 : 366쪽
· 출판일 : 1995-10-18

목차

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.

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