Capture of Hair Geometry using White Structured Light

	Capture of Hair Geometry using White Structured Light
	Yin Chen; Zhan Song; Shuai Lin; Ralph R. Martin; Zhi-Quan Cheng
刊名	Computer-Aided Design
	2018
文献子类	期刊论文
英文摘要	Structured lighting (SL) scanning technology has been successfully applied to reconstruct personalized avatars, providing high-quality geometry for the face and body. However, previous white SL methods have typically been unable to capture and reconstruct hair geometry, preventing a complete, realistic avatar surface from being reconstructed. In this paper, we propose a novel hair capture system, producing a full-head manifold with complete hair, based on four white SL scanners made by ourselves. The key technical contribution is a robust strip-edge-based coding algorithm, using a projection pattern of 18 stripes; it allows geometric acquisition to an accuracy of 1 mm. Experiments are given to show that our system produces high-quality hair geometry, comparable to that captured by more expensive state-of-the-art multiview stereo systems. Our system is however easier to configure, and is more suited to real-world setups.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/13654]
专题	深圳先进技术研究院_集成所
推荐引用方式 GB/T 7714	Yin Chen,Zhan Song,Shuai Lin,et al. Capture of Hair Geometry using White Structured Light[J]. Computer-Aided Design,2018.
APA	Yin Chen,Zhan Song,Shuai Lin,Ralph R. Martin,&Zhi-Quan Cheng.(2018).Capture of Hair Geometry using White Structured Light.Computer-Aided Design.
MLA	Yin Chen,et al."Capture of Hair Geometry using White Structured Light".Computer-Aided Design (2018).