An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models
Kopaczka M, Hensel C, Merhof D (2017)
Publication Type: Conference contribution
Publication year: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016
Event location: Oulu, FIN
ISBN: 9781467389105
DOI: 10.1109/IPTA.2016.7820979
Abstract
Algorithms for facial landmark detection in real-world images require manually annotated training databases. However, the task of selecting or creating the images and annotating the data is extremely time-consuming, leaving researchers with the options of investing significant amounts of time for creating annotated images optimized for the given task or resigning from creating such hand-labeled databases and to use one of the few publicly available annotated datasets with potentially limited applicability to the given problem. To allow for an alternative, we introduce a method for automatically generating realistic synthetic face images and accompanying facial landmark annotations. The proposed approach extends the automation capabilities of a commercial face modeling tool and allows large-scale generation of faces that fulfill user-defined requirements. As an additional feature, full facial landmark annotations can be computed during the generation procedure, reducing the amount of manual work required to generate a full training set to a few interactions in a graphical user interface. We describe the generation procedure in detail and demonstrate that the simulated images can be used for advanced computer vision tasks, namely training of an active appearance model that allows the detection of facial landmarks in real-world photographs.
Involved external institutions
Germany (DE)How to cite
APA:
Kopaczka, M., Hensel, C., & Merhof, D. (2017). An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models. In Matti Pietikainen, Abdenour Hadid, Miguel Bordallo Lopez (Eds.), 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016. Oulu, FIN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Kopaczka, Marcin, Carlo Hensel, and Dorit Merhof. "An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models." Proceedings of the 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016, Oulu, FIN Ed. Matti Pietikainen, Abdenour Hadid, Miguel Bordallo Lopez, Institute of Electrical and Electronics Engineers Inc., 2017.
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