Presentation 1999/11/19
A Pose-Invariant Face Recognition System using Linear PCMAP Model
Kazunori Okada, Christoph von der Malsburg, Shigeru Akamatsu,
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Abstract(in English) We propose a novel pose-invariant face recognition system using a manifold representation for human faces with pose variations (linear PCMAP model) as the entry format for a database of known persons. The model's generalization capability for unknown head poses enables a continuous coverage of the pose parameter space, providing high approximation accuracy for pose estimation (analysis) and transformation (synthesis). With this model as the entry format for the database, the head pose of each known face is aligned to an arbitrary head pose of an input face, resulting in a pose-invariant recognition. Experimental results with 3D facial models recorded by a Cyberware scanner show that the recognition performance of our model against pose variations is superior to that of a single-view model and is equivalent to that of a multi-view model within a limited pose range in test samples.
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Keyword(in English) Pose-Invariant Face Recognition / Principal Component Analysis / Image Analysis and Synthesis
Paper # HIP99-48
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Conference Date 1999/11/19(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Pose-Invariant Face Recognition System using Linear PCMAP Model
Sub Title (in English)
Keyword(1) Pose-Invariant Face Recognition
Keyword(2) Principal Component Analysis
Keyword(3) Image Analysis and Synthesis
1st Author's Name Kazunori Okada
1st Author's Affiliation Laboratory of Computational and Biological Vision:Human Information Processing Research Laboratories, ATR()
2nd Author's Name Christoph von der Malsburg
2nd Author's Affiliation Laboratory of Computational and Biological Vision:Institut fur Neuroinformatik, Ruhr-Universitat Bochum
3rd Author's Name Shigeru Akamatsu
3rd Author's Affiliation Human Information Processing Research Laboratories, ATR
Date 1999/11/19
Paper # HIP99-48
Volume (vol) vol.99
Number (no) 452
Page pp.pp.-
#Pages 6
Date of Issue