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Object recognition through invariant indexing
Hardback
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- Book Synopsis
- Computer (robot) vision is a very challenging area of research. The problem of object recognition is central to computer vision in many applications such as the automatic sorting , selection, orientation, and inspection of manufactured items. It is also very important in navigation problems in mobile robots. In invarient indexing one computes measures from a scene that index into a base with a minimal search, so producing hypotheses of the identities of objects present in the scene. This book investigates how these measures are incorporated into a recognition system and also develops a range of projective indexes that can be used. The benefit of using projective measures is that they are unchanged by the imaging process.
- Product Details
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- ISBN
- 9780198565123
- Format
- Hardback
- Publisher
- Oxford University Press, (23 February 1995)
- Number of Pages
- 261
- Weight
- 584 grams
- Language
- English
- Dimensions
- 241 x 161 x 18 mm
- Series:
- See all books in this series
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