Joint boosting feature selection for robust face recognition

Details Joint boosting feature selection for robust face recognition Joint boosting feature selection for robust face recognition

2006-03-21

2010-02-23

Mehta, Bhavesh M (Department: 2624)

Image analysis

Applications

Personnel identification

C382S115000, C382S154000, C382S190000, C382S195000, C382S155000

Reexamination Certificate

active

07668346

ABSTRACT:
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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Paul Viola, Michael J. Jones, “Robust Real-Time Object Detection”, Cambridge Research Laboratory, Cambridge, Massachusetts, Feb. 2001, pp. 1-25.

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