Applied Graph Theory in Computer Vision and Pattern Recognition

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This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.

Applied Graph Theory in Computer Vision and Pattern Recognition 2010, Springer-Verlag Berlin and Heidelberg GmbH & Co. K, Berlin

ISBN-13: 9783642087646

Paperback

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Applied Graph Theory in Computer Vision and Pattern Recognition 2007, Springer, Berlin, Germany

ISBN-13: 9783540680192

2007 edition

Hardcover

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