Automatic Fitting of a Deformable Face Mask Using a Single Image.
In: Computer Vision/computer Graphics Collaborationtechniques; 2009, p69-81, 13p
Buch
Zugriff:
We propose an automatic method for person-independent fitting of a deformable 3D face mask model under varying illumination conditions. Principle Component Analysis is utilised to build a face model which is then used within a particle filter based approach to fit the mask to the image. By subdividing a coarse mask and using a novel texture mapping technique, we further apply the 3D face model to fit into lower resolution images. The illumination invariance is achieved by representing each face as a combination of harmonic images within the weighting function of the particle filter. We demonstrate the performance of our approach on the IMM Face Database and the Extended Yale Face Database B and show that it outperforms the Active Shape Models approach [6]. [ABSTRACT FROM AUTHOR]
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Titel: |
Automatic Fitting of a Deformable Face Mask Using a Single Image.
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Autor/in / Beteiligte Person: | Kuhl, Annika ; Tan, Tele ; Venkatesh, Svetha |
Quelle: | Computer Vision/computer Graphics Collaborationtechniques; 2009, p69-81, 13p |
Veröffentlichung: | 2009 |
Medientyp: | Buch |
ISBN: | 978-3-642-01810-7 (print) |
DOI: | 10.1007/978-3-642-01811-4_7 |
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