Computer Vision: Algorithms and Applications
by Richard Szeliski
Publisher: Springer 2010
Number of pages: 655
The book emphasizes basic techniques that work under real-world conditions, not the esoteric mathematics that has intrinsic elegance but less practical applicability. The text is suitable for teaching a senior-level undergraduate course in computer vision to students in computer science and electrical engineering.
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by Kresimir Delac, Mislav Grgic - InTech
This book will serve as a handbook for students, researchers and practitioners in the area of automatic (computer) face recognition and inspire some future research ideas by identifying potential research directions within the area.
by David Marshall - Cardiff School of Computer Science
From the table of contents: Image Acquisition: 2D Image Input, 3D imaging; Image processing: Fourier Methods, Smoothing Noise; Edge Detection; Edge Linking; Segmentation; Line Labelling; Relaxation Labelling; Optical Flow; Object Recognition.
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