Abstract
We propose a method for detecting a facial symmetry axis from a frontal face image. The proposed method adopts a voting procedure like Hough transform that transforms a set of edge points into perpendicular bisectors of two different edge points selected from the set. The initial guess of a symmetry axis is adjusted accurately by the following fine tuning procedure. Experimental results show that the proposed method correctly detects facial symmetry axes from real face images visually and quantitatively.
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