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We present an algorithm for automatic detection of a large number of anthropometric landmarks on 3D faces. Our approach does not use texture and is completely shape based in order to detect landmarks that are morphologically significant. The proposed algorithm evolves level set curves with adaptive geometric speed functions to automatically extract effective seed points for dense correspondence. Correspondences are established by minimizing the bending energy between patches around seed pointsdoi:10.1109/cvpr.2015.7299095 dblp:conf/cvpr/GilaniSM15 fatcat:2tktb52kjjejvgkzr6icgq7hxm