Near laser-scan quality 3-D face reconstruction from a low-quality depth stream
作者：
Highlights：
• We infer a very accurate 3-D face model for a freely moving user from a single depth camera.
• Using unwrapped cylindrical 2-D images enables us to use simple 2-D image processing algorithms to process the 3-D information.
• We use a combination of spatial smoothing and temporal integration for noise removal.
• A robust rejection method produces reliable results in the presence of facial expression changes and partial occlusions.
• Our system runs online and in real-time.
摘要
•We infer a very accurate 3-D face model for a freely moving user from a single depth camera.•Using unwrapped cylindrical 2-D images enables us to use simple 2-D image processing algorithms to process the 3-D information.•We use a combination of spatial smoothing and temporal integration for noise removal.•A robust rejection method produces reliable results in the presence of facial expression changes and partial occlusions.•Our system runs online and in real-time.
论文关键词：Kinect,3D reconstruction,Face modeling
论文评审过程：Received 6 November 2013, Revised 26 August 2014, Accepted 20 December 2014, Available online 24 February 2015.
论文官网地址：https://doi.org/10.1016/j.imavis.2014.12.004
