Automatic Fitting of a Deformable Face Mask Using a Single Image
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 subdividi...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Springer
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/16296 |
| _version_ | 1848749135583248384 |
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| author | Kuhl, Annika Tan, Tele Venkatesh, Svetha |
| author2 | Andr Gagalowicz |
| author_facet | Andr Gagalowicz Kuhl, Annika Tan, Tele Venkatesh, Svetha |
| author_sort | Kuhl, Annika |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 and show that it out performs the Active Shape Models approach. |
| first_indexed | 2025-11-14T07:16:07Z |
| format | Conference Paper |
| id | curtin-20.500.11937-16296 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:16:07Z |
| publishDate | 2009 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-162962022-12-09T05:23:42Z Automatic Fitting of a Deformable Face Mask Using a Single Image Kuhl, Annika Tan, Tele Venkatesh, Svetha Andr Gagalowicz Wilfried Philips Deformable Face Mask Eigenfaces ASM PCA 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 and show that it out performs the Active Shape Models approach. 2009 Conference Paper http://hdl.handle.net/20.500.11937/16296 10.1007/978-3-642-01811-4_7 Springer fulltext |
| spellingShingle | Deformable Face Mask Eigenfaces ASM PCA Kuhl, Annika Tan, Tele Venkatesh, Svetha Automatic Fitting of a Deformable Face Mask Using a Single Image |
| title | Automatic Fitting of a Deformable Face Mask Using a Single Image |
| title_full | Automatic Fitting of a Deformable Face Mask Using a Single Image |
| title_fullStr | Automatic Fitting of a Deformable Face Mask Using a Single Image |
| title_full_unstemmed | Automatic Fitting of a Deformable Face Mask Using a Single Image |
| title_short | Automatic Fitting of a Deformable Face Mask Using a Single Image |
| title_sort | automatic fitting of a deformable face mask using a single image |
| topic | Deformable Face Mask Eigenfaces ASM PCA |
| url | http://hdl.handle.net/20.500.11937/16296 |