hgp2huge/facedetection

Face Detection via AdaBoost

#Face Detection

##Framework:
Adaboost + SURF + Logistic Regression + Stochastic Gradient

##Example:
Frontal Face

##Training Set:
Positive: LFW
Negative: Caltech101

##Reference： J. Li and Y. Zhang, “Learning surf cascade for fast and accurate object detection,” Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pp. 3468–3475, June 2013.
Yi-Qing Wang, An Analysis of the Viola-Jones Face Detection Algorithm, Image Processing On Line, 4 (2014), pp. 128–148.
P. Long and R. Servedio, “Boosting the area under the roccurve,” In NIPS, Feb 2007.
T. Fawcett, “Roc graphs: Notes and practical considerations for researchers,” Machine Learning, Feb 2004.
H. Bay, A. Ess, and T. Tuytelaars, “Surf: Speeded up robust features,” CVIU, 110:346-359, 2008.
P. Viola and M. Jones, “Robust real-time face detection,” International Journal of Computer Vision, 57 (2004), vol. 2, pp. 137–154, 2004.