Computational Vision
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Computational Vision
This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and illustrations to clarify complex points. The text is suitable for upper-level students in neuroscience, biology, and psychology who have basic mathematical skills and are interested in studying the mathematical modeling of perception.
Computer Vision
Author: Simon J. D. Prince
language: en
Publisher: Cambridge University Press
Release Date: 2012-06-18
A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.
Computational Vision
The book is suitable for advanced courses in computer vision and image processing. In addition to providing an overall view of computational vision, it contains extensive material on topics that are not usually covered in computer vision texts (including parallel distributed processing and neural networks) and considers many real applications.