This introduction to the field of computer vision focuses on basic concepts and techniques. The thrust is to give practitioners what they need to know to develop a practical machine vision system. Binary vision, segmentation, constraint propagation techniques are presented as are camera calibration, color and texture, detection of motion, and object recognition. This text is appropriate for use in Computer Science and Electrical Engineering departments at the senior and graduate level.
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11 of 14 people found the following review helpful:
3.0 out of 5 stars
Machine Vision,
By A Customer
This review is from: Machine Vision (Hardcover)
This book has a thorough discussion of the topics of computer vision. It starts with the basic elements of computer images and eventually explains stereo images and 3-dimensionality.I would not suggest this book for someone who wants samples of code, because this book does not have any. This book is designed for people interested in the theory of computer vision and can take that theory and apply it themselves. A strong background in math is needed for this book.
0 of 2 people found the following review helpful:
4.0 out of 5 stars
complete text,
This review is from: Machine Vision (Hardcover)
Interesting and rather complete introduction to machine vision and provides enough information for implementation of practical algorithms. It covers many of the theories useful for information extraction.
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