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Object Recognition Through Invariant Indexing

Object Recognition Through Invariant Indexing

0 - Default Title
Description
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
Edition:
illustrated
Number of Pages:
272
Release Date:
1995-04-06
Publication Date:
1997-04-01
Publisher:
OUP Oxford
Languages:
Original: English
ISBN10:
0198565127
ISBN13:
9780198565123
GPSR Manufacturer Reference:
Weight:
596 g
Height:
157 cm
Width:
235 cm
Thickness:
21 cm
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