Content-Type: text/html R-LAIR: Riverside Lab for Artificial Intelligence Research

UCR

Computer Science and Engineering



R-LAIR: Riverside Lab for Artificial Intelligence Research

Face Recognition and Alignment using Support Vector Machines (2008)

by Antony Lam and Christian R. Shelton

Abstract: Face recognition in the presence of pose changes remains a largely unsolved problem. Severe pose changes, resulting in dramatically different appearances, is one of the main difficulties. We present a support vector machine (SVM) based system that learns the relations between corresponding local regions of the face in different poses as well as a simple SVM based system for automatic alignment of faces in differing poses. We then present experimental results from multiple random splits of the CMU PIE Database to verify the strength of our approach.

Download Information

Antony Lam and Christian R. Shelton (2008). "Face Recognition and Alignment using Support Vector Machines." Automatic Face and Gesture Recognition. pdf ps    

Bibtex citation

@inproceedings{LamShe08,
   author = "Antony Lam and Christian R. Shelton",
   title = "Face Recognition and Alignment using Support Vector Machines",
   booktitle = "Automatic Face and Gesture Recognition",
   year = 2008,
}

full list

More Information

Address

University of California, Riverside
Chung Hall, room 368
Riverside, CA 92521

 


External Links