by Dana H. Ballard, Christopher M. Brown
Publisher: Prentice Hall 1982
Number of pages: 539
Computer vision is the construction of explicit, meaningful descriptions of physical objects from images. Image understanding is very different from image processing, which studies image-to-image transformations, not explicit description building. Descriptions are a prerequisite for recognizing, manipulating, and thinking about objects. Parts of the book assume some mathematical and computing background (calculus, linear algebra, data structures, numerical methods). However, throughout the book mathematical rigor takes a backseat to concepts. Our intent is to transmit a set of ideas about a new field to the widest possible audience.
Home page url
Download or read it online for free here:
by Rong-Fong Fung - InTech
This is a book about how to employ the vision theory in the market conditions for students or researchers who want to realize the technique of machine vision. The book consists of 10 chapters on different fields about vision applications.
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.
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 Cesare Rossi - InTech
The book provides new ideas, original results and practical experiences regarding service robotics. It is only a small example of this research activity, but it covers a great deal of what has been done in the field recently.