TY - CHAP A1 - Grewe, Carl Martin A1 - Zachow, Stefan T1 - Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces T2 - Computer Vision – ECCV 2016 Workshops N2 - 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. Y1 - 2016 U6 - https://doi.org/10.1007/978-3-319-48881-3_38 VL - 9914 SP - 552 EP - 568 PB - Springer International Publishing ER - TY - CHAP A1 - Grewe, Carl Martin A1 - Schreiber, Lisa T1 - Digitale Bildarchive. Archivierung und Codierung der Gefühle T2 - +ultra gestaltung schafft wissen Y1 - 2016 SN - 978-3-86502-378-0 SP - 285 EP - 290 PB - Seemann Henschel ER - TY - CHAP A1 - Grewe, Carl Martin A1 - le Roux, Gabriel A1 - Pilz, Sven-Kristofer A1 - Zachow, Stefan T1 - Spotting the Details: The Various Facets of Facial Expressions T2 - IEEE International Conference on Automatic Face and Gesture Recognition Y1 - 2018 U6 - https://doi.org/10.1109/FG.2018.00049 SP - 286 EP - 293 ER - TY - JOUR A1 - Weiss, Selina A1 - Grewe, Carl Martin A1 - Olderbak, Sally A1 - Goecke, Benjamin A1 - Kaltwasser, Laura A1 - Hildebrandt, Andrea T1 - Symmetric or not? A holistic approach to the measurement of fluctuating asymmetry from facial photographs JF - Personality and Individual Differences Y1 - 2020 U6 - https://doi.org/https://doi.org/10.1016/j.paid.2020.110137 VL - 166 SP - 1 EP - 12 ER - TY - JOUR A1 - Weiss, Selina A1 - Grewe, Carl Martin A1 - Olderbak, Sally A1 - Goecke, Benjamin A1 - Kaltwasser, Laura A1 - Hildebrandt, Andrea T1 - Symmetric or not? A holistic approach to the measurement of fluctuating asymmetry from facial photographs JF - PsyArXiv Y1 - 2020 U6 - https://doi.org/10.31234/osf.io/s534t N1 - preprint of https://doi.org/10.1016/j.paid.2020.110137 ER - TY - GEN A1 - Grewe, Carl Martin A1 - Schreiber, Lisa ED - Doll, Nikola ED - Bredekamp, Horst ED - Schäffner, Wolfgang T1 - Digital Image Archive. The Archiving and Coding of Emotions T2 - +ultra. Knowledge & Gestaltung Y1 - 2017 SP - 281 EP - 286 PB - Seemann Henschel ER - TY - GEN A1 - Grewe, Carl Martin A1 - Zachow, Stefan ED - Doll, Nikola ED - Bredekamp, Horst ED - Schäffner, Wolfgang T1 - Face to Face-Interface T2 - +ultra. Knowledge & Gestaltung Y1 - 2017 SP - 320 EP - 321 PB - Seemann Henschel ER - TY - GEN A1 - Grewe, Carl Martin A1 - Le Roux, Gabriel A1 - Pilz, Sven-Kristofer A1 - Zachow, Stefan T1 - Spotting the Details: The Various Facets of Facial Expressions N2 - 3D Morphable Models (MM) are a popular tool for analysis and synthesis of facial expressions. They represent plausible variations in facial shape and appearance within a low-dimensional parameter space. Fitted to a face scan, the model's parameters compactly encode its expression patterns. This expression code can be used, for instance, as a feature in automatic facial expression recognition. For accurate classification, an MM that can adequately represent the various characteristic facets and variants of each expression is necessary. Currently available MMs are limited in the diversity of expression patterns. We present a novel high-quality Facial Expression Morphable Model built from a large-scale face database as a tool for expression analysis and synthesis. Establishment of accurate dense correspondence, up to finest skin features, enables a detailed statistical analysis of facial expressions. Various characteristic shape patterns are identified for each expression. The results of our analysis give rise to a new facial expression code. We demonstrate the advantages of such a code for the automatic recognition of expressions, and compare the accuracy of our classifier to state-of-the-art. T3 - ZIB-Report - 18-06 Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-67696 SN - 1438-0064 ER - TY - GEN A1 - Grewe, Carl Martin A1 - Lamecker, Hans A1 - Zachow, Stefan ED - Hermanussen, Michael T1 - Landmark-based Statistical Shape Analysis T2 - Auxology - Studying Human Growth and Development url Y1 - 2013 UR - http://www.schweizerbart.de/publications/detail/isbn/9783510652785 SP - 199 EP - 201 PB - Schweizerbart Verlag, Stuttgart ER - TY - GEN A1 - Grewe, Carl Martin A1 - Lamecker, Hans A1 - Zachow, Stefan T1 - Digital morphometry: The Potential of Statistical Shape Models T2 - Anthropologischer Anzeiger. Journal of Biological and Clinical Anthropology Y1 - 2011 SP - 506 EP - 506 ER -