Real-Time Pose-Invariant Face Recognition Using the Efficient Second-Order Minimization and the Pose Transforming Matrix

Title
Real-Time Pose-Invariant Face Recognition Using the Efficient Second-Order Minimization and the Pose Transforming Matrix
Author(s)
최현철Oh, Se-Young[Oh, Se-Young]
Issue Date
201101
Publisher
VSP BV
Citation
ADVANCED ROBOTICS, v.25, no.1-2, pp.153 - 174
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
URI
http://hdl.handle.net/YU.REPOSITORY/25744http://dx.doi.org/10.1163/016918610X538534
ISSN
0169-1864
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공과대학 > 전자공학과 > Articles
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