Machine Vision: Automated Visual Inspection and Robot Vision
by David Vernon
Publisher: Prentice Hall 1991
Number of pages: 260
Machine vision is a multidisciplinary subject, utilizing techniques drawn from optics, electronics, mechanical engineering, computer science, and artificial intelligence. This book is an introduction to Machine Vision which will allow the reader quickly to comprehend the essentials of this fascinating topic. Emphasis will be placed on the fundamental tools for image acquisition, processing, and analysis; a range of techniques, dealing with very simple two dimensional systems, through more sophisticated two-dimensional approaches, to the three-dimensional robot vision, will be explained in some detail.
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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 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 Kresimir Delac, Mislav Grgic - InTech
This book will serve as a handbook for students, researchers and practitioners in the area of automatic (computer) face recognition and inspire some future research ideas by identifying potential research directions within the area.
by Kresimir Delac, Mislav Grgic, Marian Stewart Bartlett - IN-TECH
The main ideas in the area of face recognition are security applications and human-computer interaction. The goal of this book is to provide the reader with the most up to date research performed in automatic face recognition.