Structure-aware hair capture

Linjie Luo, Hao Li, Szymon M. Rusinkiewicz

Research output: Contribution to journalArticle

53 Scopus citations

Abstract

Existing hair capture systems fail to produce strands that reflect the structures of real-world hairstyles. We introduce a system that reconstructs coherent and plausible wisps aware of the underlying hair structures from a set of still images without any special lighting. Our system first discovers locally coherent wisp structures in the reconstructed point cloud and the 3D orientation field, and then uses a novel graph data structure to reason about both the connectivity and directions of the local wisp structures in a global optimization. The wisps are then completed and used to synthesize hair strands which are robust against occlusion and missing data and plausible for animation and simulation. We show reconstruction results for a variety of complex hairstyles including curly, wispy, and messy hair.

Original languageEnglish (US)
Article number76
JournalACM Transactions on Graphics
Volume32
Issue number4
DOIs
StatePublished - Jul 1 2013

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design

Keywords

  • Hair modeling
  • Hair reconstruction
  • Multi-view stereo

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