Open AccessProceedings Article
Local appearance based face recognition using discrete cosine transform
Hazim Kemal Ekenel,Rainer Stiefelhagen +1 more
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The performance of the proposed algorithm is tested on the Yale and CMU PIE face databases, and the obtained results show significant improvement over the holistic approaches.Abstract:
In this paper, a local appearance based face recognition algorithm is proposed. In the proposed algorithm local information is extracted using block-based discrete cosine transform. Obtained local features are combined both at the feature level and at the decision level. The performance of the proposed algorithm is tested on the Yale and CMU PIE face databases, and the obtained results show significant improvement over the holistic approaches.read more
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Enabling Multimodal Human–Robot Interaction for the Karlsruhe Humanoid Robot
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Video-based Face Recognition on Real-World Data
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Analysis of Local Appearance-Based Face Recognition: Effects of Feature Selection and Feature Normalization
TL;DR: The experimental results show the importance of using appropriate feature sets and doing normalization on the feature vector and the effects of feature selection and feature normalization to the performance of a local appearance based face recognition scheme.
References
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Face recognition by elastic bunch graph matching
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