System and method for multi-view face detection

Details System and method for multi-view face detection System and method for multi-view face detection

2008-01-29

2008-01-29

Bella, Matthew C. (Department: 2624)

Image analysis

Applications

Personnel identification

Reexamination Certificate

active

07324671

ABSTRACT:
A system and method for real-time multi-view (i.e. not just frontal view) face detection. The system and method uses a sequence of detectors of increasing complexity and face
on-face discriminating thresholds to quickly discard non-faces at the earliest stage possible, thus saving much computation compared to prior art systems. The detector-pyramid architecture for multi-view face detection uses a coarse-to-fine and simple-to-complex scheme. This architecture solves the problem of lengthy processing that precludes real-time face detection effectively and efficiently by discarding most of non-face sub-windows using the simplest possible features at the earliest possible stage. This leads to the first real-time multi-view face detection system which has the accuracy almost as good as the state-of-the-art system yet 270 times faster, allowing real-time performance.

REFERENCES:
patent: 5774591 (1998-06-01), Black et al.
patent: 6272231 (2001-08-01), Maurer et al.
patent: 6671391 (2003-12-01), Zhang et al.
patent: 6804391 (2004-10-01), Blake et al.
patent: 6829384 (2004-12-01), Schneiderman et al.
patent: 6944319 (2005-09-01), Huang et al.
patent: 2003/0123754 (2003-07-01), Toyama
Ng, J. and S. Gong. “Performing milti-view face detection and pose estimation using a composite support vector machine across the view sphere” Proc. IEEE International Workshop on Recognition, Analysis and Tracking of Faces and Gestures, pp. 14-21, 1999.
Li, Y. M., S.G. Gong, and H. Liddell “Support Vector regression and classification based multi-view face detection and recognition” Proc. IEEE Int. Conf. of Face and Gesture Recognition, pp. 300-305, Mar. 2000.
Rowley, H.A., S. Baluja and T. Kanade, “Neural network-based face detection”, in IEEE transactions on Pattern Analysis and Machine Intelligence, vol. 20, No. 1, pp. 23-38, Jan. 1998.
Fleuret, F. and D. Geman. Coarse-to-fine face detection. International Journal of Computer Vision, 20:1157-1163, 2001.
Viola, P. and M. Jones. Robust real time object detection. In IEEE ICCV Workshop on Statistical and □□Computational Theories of Vision, Vancouver, Canada, Jul. 13, 2001.

Affiliated with

Also associated with

Rating

System and method for multi-view face detection does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and method for multi-view face detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for multi-view face detection will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2757620