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Published Articles >> Table of Contents >> Abstract
International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)
pp. 190-193
Elastic Local Reconstruction for Human Face Recognition
Xudong Xie, The Hong Kong Polytechnic University, Hong Kong
Kin-Man Lam, The Hong Kong Polytechnic University, Hong Kong
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.37
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| Abstract |
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In this paper, a new face recognition algorithm
based on a single frontal-view image for each face
subject is proposed, which considers the effect of the face
manifold structure. A human face is considered a
combination of a sequence of local image blocks. Then
an elastic local reconstruction (ELR) method is proposed
to measure the similarities between the image block
pairs in order to measure the difference between the two
face images. Our algorithm not only benefits from the
face manifold structure, in terms of being robust to
various image variations, but also is computationally
simple because there is no need to build the face
manifold. We evaluate the performance of our proposed
face recognition algorithm with the use of different
databases and consistent and promising experimental
results were obtained.
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 Additional Information
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Citation:
Xudong Xie, Kin-Man Lam,
"Elastic Local Reconstruction for Human Face Recognition,"
cgiv,
pp. 190-193,
International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06),
2006
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