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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Yu, Hongchuan; Bennamoun, Mohammed (2005)
Publisher: ACIDCA-ICMI'2005
Languages: English
Types: Part of book or chapter of book
Subjects: csi

Classified by OpenAIRE into

arxiv: Computer Science::Computer Vision and Pattern Recognition
ACM Ref: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, ComputingMethodologies_PATTERNRECOGNITION
In this paper, we present a complete set of hybrid\ud similarity invariants under the Analytical Fourier-Mellin\ud Transform (AFMT) framework, and apply it to invariant face\ud recognition. Because the magnitude and phase spectra are not\ud processed separately, this invariant descriptor is complete. In order to simplify the invariant feature data for recognition and discrimination, a 2D-PCA approach is introduced into this complete invariant descriptor. The experimental results indicate that the presented invariant descriptor is complete and similarityinvariant. Its compact representation through the 2D-PCA preserves the essential structure of an object. Furthermore, we apply this compact form into ORL, Yale and BioID face databases for experimental verification, and achieve the desired results.
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    • genuine distribution imposter distribution genuine distribution imposter distribution 0.1 0.2 0.3 0.4 False Reject Rate 0.5 0.6 0.7
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