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Joint boosting feature selection for robust face recognition
Joint boosting feature selection for robust face recognition
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机译:联合增强功能选择可增强人脸识别能力
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摘要
Methods and systems are provided for selecting features that will be used to recognize faces. Three-dimensional models are used to synthesize a database of virtual face images. The virtual face images cover wide appearance variations, different poses, different lighting conditions and expression changes. A joint boosting algorithm is used to identify discriminative features by selecting features from the plurality of virtual images such that the identified discriminative features are independent of the other images included in the database.
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