
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.
This book investigates the efficacy of projective invariants as a robust methodology for computer-based object recognition. Charles A. Rothwell, a researcher in the field of computer vision, synthesizes existing theoretical frameworks with practical application to address the challenges of identifying two-dimensional and three-dimensional shapes. By evaluating current descriptors and proposing a novel system architecture, the text provides a comprehensive overview of how mathematical invariants facilitate machine perception in real-world environments.
What You Will Find
Experts recognize this work as a foundational text for those specializing in computer vision and pattern recognition. Readers frequently note the technical density of the prose, which serves as a bridge between abstract mathematical theory and practical engineering implementation.
Page Count:
272
Publication Date:
1995-04-06
Publisher:
Oxford University Press
ISBN-10:
0198565127
ISBN-13:
9780198565123
No comments yet. Be the first to share your thoughts!