CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
A Lighting Robust Fitting Approach of 3D Morphable Model using Spherical Harmonic Illumination
Ma, Mingyang; Hu, Xiyuan; Xu, Yuquan; Peng, Silong
2014-10
Conference NameThe 22nd International Conference on Pattern Recognition (ICPR)
Source PublicationInternational Conference on Pattern Recognition
Pages2101-2106
Conference Date2014-8-26
Conference PlaceStockholm, Sweden
Abstract
3D morphable model (3DMM) is a powerful tool to recover 3D shape and texture from a single facial image. Its foundation consists of three models (i.e. face, camera, and illumination) which can simulate the formulation process of facial images. In this paper, we adopt a new illumination model, the Sphere Harmonic Illumination Model (SHIM), to the 3DMM fitting process. The new illumination model takes more lighting factors into consideration than the Phong’s model. Then, we use a new optimization algorithm to optimize the shape and texture parameters simultaneously under SHIM. Compared with the the existing methods that used SHIM to recover only texture, both the shape and texture recovered by our algorithm are improved. The experiments on he CMU-PIE database also show that, compared to other state-of-the-art methods based on the Phong’s model, the proposed approach enhances the robustness of the fitting of
3DMM against lighting variations.
Indexed ByEI ; CPCI-T
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10366
Collection智能制造技术与系统研究中心_多维数据分析
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Ma, Mingyang,Hu, Xiyuan,Xu, Yuquan,et al. A Lighting Robust Fitting Approach of 3D Morphable Model using Spherical Harmonic Illumination[C],2014:2101-2106.
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