Efficient Object Recognition Using Parametric Eigenspace under Influence of Noise and Occlusion

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 visu...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Revankar, P.S., Biswas, P.K., Deshpande, S.N.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Distance measurement Eigenspace EigenValues EigenVectors Hypercurve Hypersurface Image recognition Kernel KL Transform Noise Noise measurement Occlusion Paramatric Eigenspace Training Universal Principal Components
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!