DocumentCode
2224938
Title
Local appearance for robust object recognition
Author
Jugessur, Deeptiman ; Dudek, Gregory
Author_Institution
Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
Volume
1
fYear
2000
fDate
2000
Firstpage
834
Abstract
We present an approach to appearance-based object recognition using single camera images. Our approach is based on using an attention mechanism to obtain visual features that are generic, robust and informative. The features themselves are recognized using principal components an the frequency domain. In this paper we show how the visual characteristics of only a small number of such features can be used for appearance-based object recognition that is not confounded by planar rotations or background clutter
Keywords
object recognition; attention mechanism; object recognition; single camera images; visual features; Bismuth; Object recognition; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location
Hilton Head Island, SC
ISSN
1063-6919
Print_ISBN
0-7695-0662-3
Type
conf
DOI
10.1109/CVPR.2000.855907
Filename
855907
Link To Document