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Generalized Elastic Graph Matching for Face Recognition
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- Authors
- Ho Chul Shin, Seong-Dae Kim, Hae-Chul Choi
- Issue Date
- 2007-07
- Citation
- Pattern Recognition Letters, v.28, no.9, pp.1077-1082
- ISSN
- 0167-8655
- Publisher
- Elsevier
- Language
- English
- Type
- Journal Article
- Abstract
- Elastic graph matching (EGM) is a well-known approach in face recognition area for the robust face recognition to a rotation in depth and facial expression change. We extended the conventional EGM to the generalized EGM (G-EGM), which is afford to handle even globally warped faces, by enhancing the robustness of node descriptors to a global warping, and introducing warping-compensated edges in graph matching cost function. The improved performance of the G-EGM was evaluated through the recognition simulation based on arbitrary posed faces. © 2007 Elsevier B.V. All rights reserved.
- KSP Keywords
- Graph Matching, Matching cost function, Robust face recognition, facial expression, improved performance