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Object Recognition Through Invariant Indexing
Contributor(s): Rothwell, Charles A. (Author)
ISBN: 0198565127     ISBN-13: 9780198565123
Publisher: Oxford University Press, USA
OUR PRICE:   $166.25  
Product Type: Hardcover
Published: April 1995
Qty:
Annotation: In Object Recognition through Invariant Indexing, Charles Rothwell provides a practical and accessible introduction to two-dimensional shape description using projective invariants while contrasting the various interpretations of the descriptors currently in use. He also surveys a number of
new invariant descriptors for three-dimensional shapes that can be recovered from single images, showing how such measures can be used to ease the recognition of real objects by a computer. Rothwell then proceeds to describe a promising new architecture for a real recognition system. In reviewing
a broad field of recognition theory, the book is unique in its deft synthesis of research and application. It will be welcomed by students and researchers in computer vision, robotics, pattern recognition, and image and signal processing.
Additional Information
BISAC Categories:
- Computers | Computer Vision & Pattern Recognition
- Language Arts & Disciplines | Linguistics - General
Dewey: 006.37
LCCN: 94024402
Series: Oxford Science Publications
Physical Information: 0.75" H x 6" W x 9" (1.25 lbs) 272 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
In Object Recognition through Invariant Indexing, Charles Rothwell provides a practical and accessible introduction to two-dimensional shape description using projective invariants while contrasting the various interpretations of the descriptors currently in use. He also surveys a number of
new invariant descriptors for three-dimensional shapes that can be recovered from single images, showing how such measures can be used to ease the recognition of real objects by a computer. Rothwell then proceeds to describe a promising new architecture for a real recognition system. In reviewing
a broad field of recognition theory, the book is unique in its deft synthesis of research and application. It will be welcomed by students and researchers in computer vision, robotics, pattern recognition, and image and signal processing.