Share Email Print

Proceedings Paper

Combinatorics reduction for target recognition in ATR applications
Author(s): Kashi Rao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Object recognition is by nature a combinatorially explosive problem, and the combinatorics is especially worse when recognizing a 3-D object from a single 2-D image. This is because of the large search space consisting of all the possible viewing angles, translation parameters and object models. Thus there is a need to develop methods to reduce the search combinatorics. Towards this end we have developed methods to reduce search combinatorics in target recognition in ATR applications. Some of these methods make use of domain specific information leading to what are called strong search methods in artificial intelligence. Other methods use more general methods leading to what are called weak methods. In this paper we discuss one of the strong methods we have developed.

Paper Details

Date Published: 16 September 1992
PDF: 11 pages
Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); doi: 10.1117/12.138292
Show Author Affiliations
Kashi Rao, Texas Instruments Inc. (United States)

Published in SPIE Proceedings Vol. 1700:
Automatic Object Recognition II
Firooz A. Sadjadi, Editor(s)

© SPIE. Terms of Use
Back to Top