Combining Models and Exemplars for Face Recognition: An Illuminating Example

Terence Sim and Takeo Kanade
Proceedings of the CVPR 2001 Workshop on Models versus Exemplars in Computer Vision, December, 2001.


Download
  • Adobe portable document format (pdf) (304KB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract
We propose a model- and exemplar-based approach for face recognition. This problem has been previously tackled using either models or exemplars, with limited success. Our idea uses models to synthesize many more exemplars, which are then used in the learning stage of a face recognition system. To demonstrate this, we develop a statistical shape-from-shading model to recover face shape from a single image, and to synthesize the same face under new illumination. We then use this to build a simple and fast classifier that was not possible before because of a lack of training data.

Keywords
model-based, exemplar-based, shape-from-shading, face recognition, eigenspace

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): Face Group and Component Analysis
Associated Project(s): Face Recognition Across Illumination and Face Recognition

Text Reference
Terence Sim and Takeo Kanade, "Combining Models and Exemplars for Face Recognition: An Illuminating Example," Proceedings of the CVPR 2001 Workshop on Models versus Exemplars in Computer Vision, December, 2001.

BibTeX Reference
@inproceedings{Sim_2001_3870,
   author = "Terence Sim and Takeo Kanade",
   title = "Combining Models and Exemplars for Face Recognition: An Illuminating Example",
   booktitle = "Proceedings of the CVPR 2001 Workshop on Models versus Exemplars in Computer Vision",
   month = "December",
   year = "2001",
}