Title :
Local appearance for robust object recognition
Author :
Jugessur, Deeptiman ; Dudek, Gregory
Author_Institution :
Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
Print_ISBN :
0-7695-0662-3
DOI :
10.1109/CVPR.2000.855907
