Resolution-Aware 3D Morphable Model
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Hu, G, Chan, Chi Ho, Kittler, Josef and Christmas, B (2012) Resolution-Aware 3D Morphable Model
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Official URL: http://dx.doi.org/10.5244/C.26.109
Abstract
The 3D Morphable Model (3DMM) is currently receiving considerable attention for human face analysis. Most existing work focuses on fitting a 3DMM to high resolution images. However, in many applications, fitting a 3DMM to low-resolution images is also important. In this paper, we propose a Resolution-Aware 3DMM (RA- 3DMM), which consists of 3 different resolution 3DMMs: High-Resolution 3DMM (HR- 3DMM), Medium-Resolution 3DMM (MR-3DMM) and Low-Resolution 3DMM (LR-3DMM). RA-3DMM can automatically select the best model to fit the input images of different resolutions. The multi-resolution model was evaluated in experiments conducted on PIE and XM2VTS databases. The experimental results verified that HR- 3DMM achieves the best performance for input image of high resolution, and MR- 3DMM and LR-3DMM worked best for medium and low resolution input images, respectively. A model selection strategy incorporated in the RA-3DMM is proposed based on these results. The RA-3DMM model has been applied to pose correction of face images ranging from high to low resolution. The face verification results obtained with the pose-corrected images show considerable performance improvement over the result without pose correction in all resolutions
| Item Type: | Conference or Workshop Item (Conference Paper) | |||||||||||||||
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| Divisions : | Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing | |||||||||||||||
| Authors : |
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| Date : | 2012 | |||||||||||||||
| Funders : | EPSRC | |||||||||||||||
| DOI : | 10.5244/C.26.109 | |||||||||||||||
| Copyright Disclaimer : | Copyright 2012. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms. | |||||||||||||||
| Depositing User : | Symplectic Elements | |||||||||||||||
| Date Deposited : | 16 Oct 2014 11:25 | |||||||||||||||
| Last Modified : | 11 Dec 2018 11:22 | |||||||||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/806003 |
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