Abstract
In face recognition (face verification, face expression etc.), a full face or near full face is used and the face image is about fixed size in general. Especially, eyes, nose and mouth are usually located from the upper part to the lower part in the input image. But, in order to recognize the face in any posture, it is important to remove an influence caused by the position and three-dimensional turning of the face. The authors propose a method for detecting the face position in unknown posture, using an invariant image information. First, we show that the spectrum, which is obtained by polar transform and Fourier transform of the image, is shift-invariant and rotation-invariant, and is shift-invariant toward depth. Next, we describe on the detection of the face position in unrestricted posture, using the calculation of correlation of the spectrum. In this paper, the proposal method is explained and the experimental result, which is performed to verify the efficacy of the method, is demonstrated.
