3D model-based pose invariant face recognition from multiple views
3D model-based pose invariant face recognition from multiple views
- Author(s): Q. Chen ; J. Yao ; W.K. Cham
- DOI: 10.1049/iet-cvi:20060014
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- Author(s): Q. Chen 1 ; J. Yao 1 ; W.K. Cham 1
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View affiliations
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Affiliations:
1: Department of Electronic Engineering, The Chinese University of Hong Kong Shatin, New Territories, Hong Kong
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Affiliations:
1: Department of Electronic Engineering, The Chinese University of Hong Kong Shatin, New Territories, Hong Kong
- Source:
Volume 1, Issue 1,
March 2007,
p.
25 – 34
DOI: 10.1049/iet-cvi:20060014 , Print ISSN 1751-9632, Online ISSN 1751-9640
A 3D model-based pose invariant face recognition method that can recognise a human face from its multiple views is proposed. First, pose estimation and 3D face model adaptation are achieved by means of a three-layer linear iterative process. Frontal view face images are synthesised using the estimated 3D models and poses. Then the discriminant ‘waveletfaces’ are extracted from these synthesised frontal view images. Finally, corresponding nearest feature space classifier is implemented. Experimental results show that the proposed method can recognise faces under variable poses with good accuracy.
Inspec keywords: pose estimation; face recognition; iterative methods
Other keywords:
Subjects: Interpolation and function approximation (numerical analysis); Image recognition; Image recognition; Computer vision and image processing techniques; Interpolation and function approximation (numerical analysis)
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