Three-Dimensional Computer Vision

Three-Dimensional Computer Vision

Einband:
Fester Einband
EAN:
9780262061582
Untertitel:
A Geometric Viewpoint
Genre:
Mathematik
Autor:
Olivier Faugeras
Herausgeber:
MIT Press Ltd
Anzahl Seiten:
700
Erscheinungsdatum:
19.11.1993
ISBN:
978-0-262-06158-2

Zusammenfassung This monograph by one of the world's leading vision researchers provides a thorough! mathematically rigorous exposition of a broad and vital area in computer vision: the problems and techniques related to three-dimensional (stereo) vision and motion. Informationen zum Autor Olivier Faugeras is Research Director and head of a computer vision group at INRIA and Adjunct Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He is the author of Three-Dimensional Computer Vision (MIT Press! 1993). Klappentext This monograph by one of the world's leading vision researchers provides a thorough! mathematically rigorous exposition of a broad and vital area in computer vision: the problems and techniques related to three-dimensional (stereo) vision and motion. Inhaltsverzeichnis Projective geometry; modelling and calibrating cameras; edge detection; representing geometric primitives and their uncertainty; stereo vision; determining discrete motion from points and lines; tracking tokens over time; motion fields of curves; interpolating and approximating three-dimensional data; recognizing and locating objects and places; answers to problems. Appendices: constrained optimization; some results from algebraic geometry; differential geometry.

Autorentext
Olivier Faugeras is Research Director and head of a computer vision group at INRIA and Adjunct Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He is the author of Three-Dimensional Computer Vision (MIT Press, 1993).

Inhalt
Projective geometry; modelling and calibrating cameras; edge detection; representing geometric primitives and their uncertainty; stereo vision; determining discrete motion from points and lines; tracking tokens over time; motion fields of curves; interpolating and approximating three-dimensional data; recognizing and locating objects and places; answers to problems. Appendices: constrained optimization; some results from algebraic geometry; differential geometry.


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