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Capture of hair geometry using white structured light.

Authors :
Chen, Yin
Song, Zhan
Lin, Shuai
Martin, Ralph R.
Cheng, Zhi-Quan
Source :
Computer-Aided Design. Mar2018, Vol. 96, p31-41. 11p.
Publication Year :
2018

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00104485
Volume :
96
Database :
Academic Search Index
Journal :
Computer-Aided Design
Publication Type :
Academic Journal
Accession number :
126756583
Full Text :
https://doi.org/10.1016/j.cad.2017.10.006