Efficient 3D morphable face model fitting
作者：
Highlights：
• We propose an efficient stepwise optimisation (ESO) strategy that optimises sequentially the pose, shape, light direction, light strength and skin texture parameters in separate steps leading to an accurate and efficient fitting.
• A perspective camera and Phong reflectance model are used to model the geometric projection and illumination respectively. Linear methods that are adapted to camera and illumination models are proposed.
• We propose a fully automatic face recognition system based on ESO. This system supports 3D-assisted global and local feature extraction.
摘要
•We propose an efficient stepwise optimisation (ESO) strategy that optimises sequentially the pose, shape, light direction, light strength and skin texture parameters in separate steps leading to an accurate and efficient fitting.•A perspective camera and Phong reflectance model are used to model the geometric projection and illumination respectively. Linear methods that are adapted to camera and illumination models are proposed.•We propose a fully automatic face recognition system based on ESO. This system supports 3D-assisted global and local feature extraction.
论文关键词：Face recognition,Face reconstruction,3D morphable model
论文评审过程：Received 8 November 2016, Revised 15 December 2016, Accepted 2 February 2017, Available online 22 February 2017, Version of Record 4 March 2017.
论文官网地址：https://doi.org/10.1016/j.patcog.2017.02.007
