A rotation and location invariant face identification and localization with or without occlusion using modified RBFN
Dhananjoy Bhakta, Goutam Sarker · 2013
This paper presents a new modified Radial Basis Function Network (RBFN) for identifying and localizing faces with or without occlusion for single images as well as for multiple image frame. The present method of facial identification is completely rotation and location invariant in the image frame. The technique of using the modified RBFN to perform learning of the different facial images and subsequent identification and location invariant localization of the clear, rotated and occluded faces is efficient, effective and fast. Also the identification rate of faces in single and multi-frame is quiet moderate.