Integrating monolithic and free-parts representations for improved face verification in the presence of pose mismatch

Authors:
Simon Lucey;Tsuhan Chen
Affiliations:
Advanced Multimedia Processing Laboratory, Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA;Advanced Multimedia Processing Laboratory, Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

This paper concentrates specifically on the task of verifying faces when the gallery set stems from frontal face images with the probe set stemming from a number of alternate poses (i.e. pose mismatch). An argument is put forward for attempting to recognize faces through integrating holistic/monolithic and free-parts representations of the face. A contribution is made via the analysis of what traits, in a face, are most useful for each representation. As a result we are able to demonstrate that there is: (a) benefit in combining free-parts and monolithic representations, and (b) further benefit can be obtained by varying the weight placed on each representation as a function of viewpoint.