Dense 3D face alignment from 2D video for real-time use

作者：

Highlights：

• 3D cascade regression approach is proposed in which facial landmarks remain invariant.

• From a single 2D image of a person's face, a dense 3D shape is registered in real time for each frame.

• Multi-view reconstruction and temporal integration for videos are presented.

• Method is robust for 3D head-pose estimation under various conditions.

摘要

•3D cascade regression approach is proposed in which facial landmarks remain invariant.•From a single 2D image of a person's face, a dense 3D shape is registered in real time for each frame.•Multi-view reconstruction and temporal integration for videos are presented.•Method is robust for 3D head-pose estimation under various conditions.

论文关键词：3D face alignment,Dense 3D model,Real-time method

论文评审过程：Received 10 October 2015, Revised 21 April 2016, Accepted 6 May 2016, Available online 24 May 2016, Version of Record 20 February 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.05.009