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Wide-baseline hair capture using strand-based refinement

Author(s): Luo, L; Zhang, C; Zhang, Z; Rusinkiewicz, Syzmon

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dc.contributor.authorLuo, L-
dc.contributor.authorZhang, C-
dc.contributor.authorZhang, Z-
dc.contributor.authorRusinkiewicz, Syzmon-
dc.date.accessioned2018-07-20T15:06:32Z-
dc.date.available2018-07-20T15:06:32Z-
dc.date.issued2013-10-03en_US
dc.identifier.citationLuo, L, Zhang, C, Zhang, Z, Rusinkiewicz, S. (2013). Wide-baseline hair capture using strand-based refinement. 265 - 272. doi:10.1109/CVPR.2013.41en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1j08j-
dc.description.abstractWe propose a novel algorithm to reconstruct the 3D geometry of human hairs in wide-baseline setups using strand-based refinement. The hair strands are first extracted in each 2D view, and projected onto the 3D visual hull for initialization. The 3D positions of these strands are then refined by optimizing an objective function that takes into account cross-view hair orientation consistency, the visual hull constraint and smoothness constraints defined at the strand, wisp and global levels. Based on the refined strands, the algorithm can reconstruct an approximate hair surface: experiments with synthetic hair models achieve an accuracy of ~3mm. We also show real-world examples to demonstrate the capability to capture full-head hair styles as well as hair in motion with as few as 8 cameras.en_US
dc.format.extent265 - 272en_US
dc.language.isoen_USen_US
dc.relation.ispartofProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognitionen_US
dc.rightsFinal published version. This is an open access article.en_US
dc.titleWide-baseline hair capture using strand-based refinementen_US
dc.typeConference Articleen_US
dc.identifier.doidoi:10.1109/CVPR.2013.41-
dc.date.eissued2013en_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/conference-proceedingen_US

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