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Author

  • Grewe, Carl Martin (15)
  • Zachow, Stefan (10)
  • Anglin, Carolyn (3)
  • Lamecker, Hans (3)
  • Schreiber, Lisa (3)
  • Wilson, David (3)
  • Bücher, Pia (2)
  • Dunbar, Michael (2)
  • Goecke, Benjamin (2)
  • Hildebrandt, Andrea (2)
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Year of publication

  • 2020 (2)
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  • 2016 (2)
  • 2015 (4)
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  • Article (4)
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  • English (14)
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Institute

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Landmark-based Statistical Shape Analysis (2013)
Grewe, Carl Martin ; Lamecker, Hans ; Zachow, Stefan
Digital morphometry: The Potential of Statistical Shape Models (2011)
Grewe, Carl Martin ; Lamecker, Hans ; Zachow, Stefan
Validation of Three Dimensional Models of the Distal Femur Created from Surgical Navigation Data (2015)
Wilson, David ; Bücher, Pia ; Grewe, Carl Martin ; Mocanu, Valentin ; Anglin, Carolyn ; Zachow, Stefan ; Dunbar, Michael
Validation of Three Dimensional Models of the Distal Femur Created from Surgical Navigation Point Cloud Data (2015)
Wilson, David ; Bücher, Pia ; Grewe, Carl Martin ; Anglin, Carolyn ; Zachow, Stefan ; Michael, Dunbar
Digital Image Archive. The Archiving and Coding of Emotions (2017)
Grewe, Carl Martin ; Schreiber, Lisa
Face to Face-Interface (2017)
Grewe, Carl Martin ; Zachow, Stefan
Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces (2016)
Grewe, Carl Martin ; Zachow, Stefan
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.
Digitale Bildarchive. Archivierung und Codierung der Gefühle (2016)
Grewe, Carl Martin ; Schreiber, Lisa
3D Digital Morphology of Human Faces (2015)
Grewe, Carl Martin
Fast and Accurate Digital Morphometry of Facial Expressions (2015)
Grewe, Carl Martin ; Schreiber, Lisa ; Zachow, Stefan
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