Fast Face Detection Using Half Face Training Set
Zhipeng Xie · Journal of Chinese Computer Systems · 2009
The Boosted Cascaded method for fast face detection was proposed by Viola and Jones to meet the real-time requirement in detection speed.However,for this method requires whole frontal faces as training set,the learned detection system depends too heavily on the symmetric property of faces.The performance will be degraded greatly if the faces in target picture lack symmetry by the reasons of illumination,occlusion,or rotation.To solve these problems,this paper suggests an improvement solution that adopts only half faces(left or right) as training set,and analyzes its feasibility.Experimental results also show that this solution can work out the three problems above to a certain extent.