Abstract:

In order to improve feature point location affected by noise in stereo matching, an algorithm of facial feature matching based on phase congruency detection is presented. This method extracts the face region in the obtained parallel binocular images to reduce the search area of the stereo matching, and uses phase congruency for detecting the edge and texture feature in the face, test results are not affected by brightness, contrast and other factors, so the images with different lighting conditions can be used the fixed threshold to avoid the difficulty of threshold selection in feature detection. RHG(Rotation Histogram of Gradients） algorithm is utilized to extract the feature point descriptor for feature matching, minimizing the influence of change in viewpoint. The experimental results show that the algorithm has better stability and higher matching rate, the rate is above 80%.

Key words: face detection, phase congruency, facial features matching