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This book presents theoretical foundations and practical methods in robust computer vision, focusing on algorithms and techniques for object recognition, image processing, and scene analysis that can handle noise, occlusion, and other real-world challenges. Sebe and Lew discuss state-of-the-art approaches and applications, making the work valuable for researchers, graduate students, and practitioners in computer vision and related fields.

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245: $a: Robust Computer Vision: Theory and Applications
245: $b:
082: $a:
100: $a: Nicu Sebe & Michael S. Lew
650: $a: Computer science
250: $a:
440: $v:
250: $b: Kluwer Academic Publishers
250: $c: 2003
020: $a: 978-1-4020-1293-0
300: $a: 448