IJAERS: Face Identification from Unconstrained Settings and Occlusions

IJAERS: Face Identification from Unconstrained Settings and Occlusions



D. Silambarasan, Anju Mary Thomas 

The images taken in the ordinary mobile phone
cameras are often taken in unconstrained settings. Because of this the
identification of face will sometime become very difficult. The paper
presented below try to overcome the above conditions of identifying the
face from non-uniform illumination, pose, blur and also partial
occlusions. Blurred face is modelled as convex combination of
transformed focused gallery images .This is extended to those images
with illumination variations, which are forming a bi-convex set and
finally the variations in pose are also included. For handling the
occlusions occurring in the images, the basic characteristics of the
human face is taken into consideration. The robustness is increased by
the transformation spread function and local binary pattern is added to
it that can identify the person even with 70% occlusion in his
photograph. 



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