@inproceedings{GreweZachow2016, author = {Grewe, Carl Martin and Zachow, Stefan}, title = {Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces}, volume = {9914}, booktitle = {Computer Vision - ECCV 2016 Workshops}, publisher = {Springer International Publishing}, doi = {10.1007/978-3-319-48881-3_38}, pages = {552 -- 568}, year = {2016}, abstract = {We present a novel framework for fully automated and highly accurate determination of facial landmarks and dense correspondence, e.g. a topologically identical mesh of arbitrary resolution, across the entire surface of 3D face models. For robustness and reliability of the proposed approach, we are combining 2D landmark detectors and 3D statistical shape priors with a variational matching method. Instead of matching faces in the spatial domain only, we employ image registration to align the 2D parametrization of the facial surface to a planar template we call the Unified Facial Parameter Domain (ufpd). This allows us to simultaneously match salient photometric and geometric facial features using robust image similarity measures while reasonably constraining geometric distortion in regions with less significant features. We demonstrate the accuracy of the dense correspondence established by our framework on the BU3DFE database with 2500 facial surfaces and show, that our framework outperforms current state-of-the-art methods with respect to the fully automated location of facial landmarks.}, language = {en} } @incollection{GreweSchreiber2016, author = {Grewe, Carl Martin and Schreiber, Lisa}, title = {Digitale Bildarchive. Archivierung und Codierung der Gef{\"u}hle}, booktitle = {+ultra gestaltung schafft wissen}, publisher = {Seemann Henschel}, isbn = {978-3-86502-378-0}, pages = {285 -- 290}, year = {2016}, language = {de} }