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 Adrian Horridge - ANU E Press
The book is the only account of what the bee actually detects with its eyes. The erratic path to understanding makes interesting reading for anyone with an analytical mind who thinks about the methods of science or the engineering of seeing machines.
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.
by Widodo Budiharto - Science Publishing Group
This book is written to provide an introduction to intelligent robotics using OpenCV. It is intended for a first course in robot vision and covers modeling and implementation of intelligent robot. Written for student and hobbyist.
by Rustam Stolkin - InTech
This book reports recent advances in the use of pattern recognition techniques for computer and robot vision. The areas of low level vision such as segmentation, edge detection, and region identification, are the focus of this book.