This book presents the theoretical aspects and practical development of a computer vision system for searching an image for a specified model object; this system is reliable, tolerates imperfections in the image and model, and is fast enough for real-world applications.
A number of search techniques are evaluated. The capabilities of the author's image search system are demonstrated on a variety of examples, and applications using it to track moving objects and navigate mobile robots are shown. This book is essential reading for anybody interested in model-based object recognition.

Bibliographic Information

Book Title: Efficient Visual Recognition Using the Hausdorff Distance
Editors: William Rucklidge
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/BFb0015091
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1996
Softcover ISBN: 978-3-540-61993-2Published: 06 November 1996
eBook ISBN: 978-3-540-49587-1Published: 11 December 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 186
Topics: Pattern Recognition, Artificial Intelligence, Image Processing and Computer Vision

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Efficient Visual Recognition Using the Hausdorff Distance

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