Robust identification of face landmarks in profile images

Identifying landmark points in facial images is a very important task in computer vision and has several applications. Here we present a fast and robust algorithm capable of identifying a specific set of landmarks on face profile images. The algorithm is based on the local curvature of the profile contour and on the local analysis of the face features. In order to validate the approach, the algorithm has been tested on a set of images. Ground truth data on the real location of the landmarks are compared with the results of our algorithm. A percentage of 92% correct identification and a mean error of 3.5 pixels demonstrate the robustness of the approach.

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