By Topic

A new approach for face detection with omnidirectional sensors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Yohan Dupuis ; Instrumentation, IT and Systems Lab IRSEEM Rouen, FR ; Xavier Savatier ; Jean-Yves Ertaud ; Pascal Vasseur

This paper tackles the problem of frontal face detection on omnidirectional vision sensors. The adaptation of traditional face detection frameworks for our system enables to speed up the detection process while achieving good performance. We propose a method to synthesize omnidirectional image database. Hence, we were able to train our detector on the synthesized omnidirectional image database. Our experiments suggest that despite non linear distortions, our face detection algorithm has high success rate. We studied performance of Adaboost algorithm variants for our system. The proposed approach is able to match the speed and robustness of existing face detection algorithm for conventional cameras.

Published in:

Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on

Date of Conference:

7-11 Dec. 2011