Face and Eye Detection by CNN Algorithms
Journal of VLSI Signal Processing Systems - Special issue on spatiotemporal signal processing with analog CNN visual microprocessors
On face detection in the compressed domain
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human-computer intelligent interaction: a survey
HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Interactive feedback for video tracking using a hybrid maximum likelihood similarity measure
HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Visual information retrieval: future directions and grand challenges
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
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This paper describes information theoretic methods for the determination of the optimal subset of pixels for the problem of face detection in complex backgrounds. A view-based method is described, which has limitations due to misalignments. This motivates the modular feature based method which minimizes the misalignment problem. Empirical comparisons between the view-based, modular, and sum of squared difference methods are made using four databases from three universities.