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Automatic Face Image Analysis
Researchers Sandro Schönborn, Andreas Forster, Bernhard Egger, Andreas Schneider
Project Partner L'Oréal, Paris
Funding own resources
Project Duration ongoing
We use the 3DMM to analyze images of human faces in an Analysis-by-Synthesis manner. The model is used to actively reconstruct the 3D shape of the depicted faces from a single image. This analysis task is one of the main applications of the Morphable Model of faces since the beginning. But so far, the analysis needed manual user intervention to initialize the model appropriately. An automatic initialization is possible using face and feature point detection technology but it has always been unreliable for non-frontal faces. In this project focus, we develop detection methods which can deal with non-frontal situations. To deal with unreliable input information, we directly integrate detection information into our probabilistic Markov Chain Monte Carlo model fitting method. The method is based on a propose-and-verify architecture which can deal with unreliable information by separating proposals from their verification with the generative model.

Publications Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images [pdf]
Bernhard Egger, Sandro Schönborn, Andreas Forster and Thomas Vetter
IN: 36th German Conference of Pattern Recognition, Münster, Germany, September 2-5, 2014.
  Human Face Shape Analysis under Spherical Harmonics Illumination Considering Self Occlusion [pdf]
Zivanov, Jasenko; Forster, Andreas; Schönborn, Sandro and Vetter, Thomas;
 IN: ICB-2013, 6th International Conference on Biometrics, June 4 - 7, 2013 Madrid, Spain
DOI: http://dx.doi.org/10.1109/ICB.2013.6612967

  A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis [pdf]
Sandro Schönborn, Andreas Forster, Bernhard Egger and Thomas Vetter
 IN: Proceedings of the 35th German Conference of Pattern Recognition, GCPR 2013, Saarbrücken, Germany, September 3-6, LNCS Volume 8142, 2013, pp 101-110 .
DOI: http://dx.doi.org/10.1007/978-3-642-40602-7_11

  A 3D Face Model for Pose and Illumination Invariant Face Recognition [pdf]
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami Romdhani and Thomas Vetter
  IN:Proceedings of the 6th IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS) for Security, Safety and Monitoring in Smart Environments Genova (Italy) - September 2-4, 2009