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| Automatic Face Image Analysis |
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| Researchers |
Sandro Schönborn, Andreas Forster, Bernhard Egger, Andreas Schneider |
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| Project Partner |
L'Oréal, Paris |
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| Funding |
own resources |
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| Project Duration |
ongoing |
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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.
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| 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. |
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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
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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
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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
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