Computer and Machine Vision

Author: E. R. Davies
Edition: 4
Binding: Kindle Edition
ISBN: B007OS9B9C

Computer and Machine Vision: Theory, Algorithms, Practicalities

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. Download Computer and Machine Vision: Theory, Algorithms, Practicalities from rapidshare, mediafire, 4shared. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practi Search and find a lot of computer books in many category availabe for free download.

Computer and Machine Vision Free

Computer and Machine Vision computer books for free. Key features include: Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practi

Related education books

Algorithms for Image Processing and Computer Vision

A cookbook of algorithms for common image processing applicationsThanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in math

Learning OpenCV

"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."

-William T. Freeman, Computer Science and Artificial Intelligence Laborat

Programming Computer Vision with Python

If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. You'll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality,