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.
| ISBN: | 9780198565123 |
| Publication date: | 23rd February 1995 |
| Author: | Charles A Rothwell |
| Publisher: | Oxford University Press an imprint of OUP OXFORD |
| Format: | Hardback |
| Pagination: | 261 pages |
| Series: | Oxford Science Publications |
| Genres: |
Neural networks and fuzzy systems Computer vision Communications engineering / telecommunications |
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.
Object Recognition Through Invariant Indexing features in the following genres: Neural networks and fuzzy systems, Computer vision, Communications engineering / telecommunications
Hardback. £101.25, down from the £112.50 cover price. Not Available.
Object Recognition Through Invariant Indexing was written by Charles A Rothwell and published by Oxford University Press an imprint of OUP OXFORD
Object Recognition Through Invariant Indexing has 261 pages
Yes it is part of Oxford Science Publications series
£101.25, reduced from £112.50. Not Available.