What does the honeybee see? And how do we know?
by Adrian Horridge
Publisher: ANU E Press 2009
This book is the only account of what the bee, as an example of an insect, actually detects with its eyes. The author sets out the history of how bee vision came to be understood, with an account of a century of neglect of old experimental results, errors of interpretation, sharp disagreements, and failures of the scientific method. 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.
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by Andrew Blake, Michael Isard - Springer
'Active Contours' is about the computer analysis of moving video images. The authors develop geometric and probabilistic models for shapes and their dynamics. The models are applied to the real-time analysis of shapes in motion.
by Scott Krig - Springer
Provides an extensive survey of over 100 machine vision methods, with a detailed taxonomy for local, regional and global features. It provides background to develop intuition about why interest point detectors and feature descriptors actually work.
by Xiong Zhihui - InTech
This book presents research trends on computer vision, especially on application of robotics, and on advanced approaches for computer vision. Research on RFID technology integrating stereo vision to localize an indoor mobile robot is included.
by Richard Szeliski - Springer
The book emphasizes basic techniques that work under real-world conditions, not the esoteric mathematics without practical applicability. The text is suitable for a senior-level undergraduates in computer science and electrical engineering.