DocumentCode :
2744473
Title :
Efficient Object Recognition Using Parametric Eigenspace under Influence of Noise and Occlusion
Author :
Revankar, Pravinkumar S. ; Biswas, Prabir Kumar ; Deshpande, Sonali N.
Author_Institution :
E & ECE Dept., IIT Kharagpur, Aurangabad
fYear :
2008
fDate :
6-8 Aug. 2008
Firstpage :
494
Lastpage :
500
Abstract :
The effect of noise and occlusion on parametric eigenspace is studied in depth in this paper in order to identify the response of the system for distorted inputs from different sources and environmental factors. The eigenspace method of Murase become very popular due to its ability of automatic visual learning and power to capture the parametric details of the object with low memory. The work done is aimed towards analyzing the different factors that may affect the performance of the system. Paper discusses the effect of number of images used and effect of number of principal components used while training, on recognition system with highly correlated objects with experimental analysis. The work is also carried out for the effect of variation in universal PC for noise and occlusion with correlated and non correlated objects. The work also focuses on memory utilization of system.
Keywords :
eigenvalues and eigenfunctions; object recognition; principal component analysis; automatic visual learning; distorted input; efficient object recognition; eigenspace method; environmental factor; experimental analysis; highly correlated objects; parametric eigenspace; recognition system; Computer science; Educational institutions; Government; Image databases; Kernel; Object recognition; Principal component analysis; Software engineering; Spatial databases; Testing; EigenValues; EigenVectors; Eigenspace; Hypercurve; Hypersurface; KL Transform; Occlusion; Paramatric Eigenspace; Universal Principal Components;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3263-9
Type :
conf
DOI :
10.1109/SNPD.2008.126
Filename :
4617420
Link To Document :
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