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FGR
2008
IEEE

Real-time face recognition for human-robot interaction

8 years 9 months ago
Real-time face recognition for human-robot interaction
The ability to recognize people is a key element for improving human-robot interaction in service robots. There are many approaches for face recognition; however, these assume unrealistic conditions for a service robot, like having an image with a centered face under controlled illumination. We have developed a novel face recognition system so that a mobile robot can learn new faces and recognize them in real–time in realistic indoor environments. It is able to learn on-line a new face based on a single frame, which is later used to recognize the person even under different environmental conditions. We employ a preprocessing step to reduce the effect of different illumination conditions, and then identify 3 regions in the face: left eye, right eye and nose–mouth. SIFT features are extracted from each region and stored in a feature vector, which is used for recognition. The matching strategy is able to discard unknown faces and the recognition process uses a Bayesian approach over ...
Claudia Cruz, Luis Enrique Sucar, Eduardo F. Moral
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where FGR
Authors Claudia Cruz, Luis Enrique Sucar, Eduardo F. Morales
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