Simulation guided hair dynamics modeling from video

Qing Zhang, Jing Tong, Huamin Wang, Zhigeng Pan, Ruigang Yang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

In this paper we present a hybrid approach to reconstruct hair dynamics from multi-view video sequences, captured under uncontrolled lighting conditions. The key of this method is a refinement approach that combines image-based reconstruction techniques with physically based hair simulation. Given an initially reconstructed sequence of hair fiber models, we develop a hair dynamics refinement system using particle-based simulation and incompressible fluid simulation. The system allows us to improve reconstructed hair fiber motions and complete missing fibers caused by occlusion or tracking failure. The refined space-time hair dynamics are consistent with video inputs and can be also used to generate novel hair animations of different hair styles. We validate this method through various real hair examples.

Original languageEnglish
Pages (from-to)2003-2010
Number of pages8
JournalComputer Graphics Forum
Volume31
Issue number7 PART1
DOIs
StatePublished - Sep 2012

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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