REAL-TIME POSE-INVARIANT FACE RECOGNITION USING THE EFFICIENT SECOND-ORDER MINIMIZATION AND THE POSE TRANSFORMING MATRIX
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- Title
- REAL-TIME POSE-INVARIANT FACE RECOGNITION USING THE EFFICIENT SECOND-ORDER MINIMIZATION AND THE POSE TRANSFORMING MATRIX
- Authors
- Choi, HC; Oh, SY
- Date Issued
- 2011-01
- Publisher
- VSP BV
- Abstract
- We propose a real-time pose-invariant face recognition algorithm from a gallery of frontal images only. (i) We modified the second-order minimization method for the active appearance model (AAM). This allows the AAM to have the ability of correct convergence with little loss of frame rate. (ii) We proposed a pose transforming matrix that can eliminate warping artifacts of the warped face image from AAM fitting. This makes it possible to train a neural network as the face recognizer with one frontal face image of each person in the gallery set. (iii) We propose a simple method for pose recognition by using neural networks to select the proper pose transforming matrix. The proposed algorithm was evaluated on a set of 2000 facial images of 10 people (200 images for each person obtained at various poses), achieving a great improvement in recognition. (C) Koninklijke Brill NV, Leiden and The Robotics Society of Japan, 2011
- Keywords
- Pose-invariant face recognition; active appearance model; efficient second-order minimization; pose transforming matrix; neural network
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/25118
- DOI
- 10.1163/016918610X538534
- ISSN
- 0169-1864
- Article Type
- Article
- Citation
- ADVANCED ROBOTICS, vol. 25, no. 1, page. 153 - 174, 2011-01
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