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A direct approach for face detection on omnidirectional images

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4 Author(s)
Dupuis, Y. ; Instrum., Comput. Sci. & Syst. Lab., IRSEEM, Rouen, France ; Savatier, X. ; Ertaud, J. ; Vasseur, P.

Catadioptric sensors offer abilities unexploited so far. This is especially true for face detection, and more generally, object detection. This paper presents our results of a direct approach to tackle face detection on catadioptric images. Despite no geometrical transformations, we are able to successfully apply our detector on distorted images. We expose a new method to synthesize large omnidirectional images database. Inspired from regular face detection training schemes, our method makes use of newly introduced polygonal Haar-like features. First tests demonstrated that our approach gives good performance and at the same time speeds up the detection process.

Published in:

Robotic and Sensors Environments (ROSE), 2011 IEEE International Symposium on

Date of Conference:

17-18 Sept. 2011

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