DocumentCode :
327798
Title :
Object-detection with a varying number of eigenspace projections
Author :
Reiter, Michael ; Matas, Jiri
Author_Institution :
Inst. for Autom., Wien Univ. of Technol., Austria
Volume :
1
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
759
Abstract :
We present a method allowing a significant speed-up of the eigen-detection method (detection based on principle component analysis). We derive a formula for an upper bound on the class-conditional probability (or equivalently a lower bound on the Mahalanobis distance) on which detection is based. Often, the lower bound of Mahalanobis distance (MD) reaches a preset threshold after computation of only a few eigen-projections. In this case the computation of MD can be immediately terminated. Regardless of the precise value of MD, the detection hypothesis (object from class Ω is detected) can be rejected. While provably obtaining results identical to the standard technique, we achieved a two- to three-fold speed-up in face detection experiments on images from the CMU database
Keywords :
eigenvalues and eigenfunctions; face recognition; object recognition; principal component analysis; probability; Mahalanobis distance; eigen-detection; eigenspace projections; face detection; object-detection; principle component analysis; probability; upper bound; Automation; Electronic switching systems; Face detection; Image processing; Lips; Mathematics; Object detection; Pattern recognition; Read only memory; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711257
Filename :
711257
Link To Document :
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