论文信息 - Human Face Feature Extraction and Recognition Base on SIFT

Human Face Feature Extraction and Recognition Base on SIFT

An important algorithm SIFT, which has been successfully applied in image matching, is employed in face recognition. Firstly, the main region of a face is detected from background images by AdaBoost. Secondly, face features are extracted by using SIFT. Then, face recognition is conducted by the comparing real extracted features with training sets. Experiment shows that, in the ORAL face DB, this scheme can reserve the advantages of SIFT, and have a high robustness in face description.

Yin Jianqin | Li Jinping | Han Yanbin

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