Partial face detection for continuous authentication
In this paper, a part based technique for real time detection of users' faces on mobile devices is proposed. This method is specifically designed for detecting partially cropped and occluded faces captured using a smartphone's front facing camera for continuous authentication. The key idea is to detect facial segments in the frame and cluster the results to obtain the region which is most likely to contain a face. Extensive experimentation on a mobile dataset of 50 users shows that our method performs better than many state of the art face detection methods in terms of accuracy and processing speed.
2016 IEEE International Conference on Image Processing (ICIP)