Hair Modeling and Simulation by Style

dc.contributor.authorJung, Seunghwanen_US
dc.contributor.authorLee, Sung-Heeen_US
dc.contributor.editorGutierrez, Diego and Sheffer, Allaen_US
dc.date.accessioned2018-04-14T18:24:55Z
dc.date.available2018-04-14T18:24:55Z
dc.date.issued2018
dc.description.abstractAs the deformation behaviors of hair strands vary greatly depending on the hairstyle, the computational cost and accuracy of hair movement simulations can be significantly improved by applying simulation methods specific to a certain style. This paper makes two contributions with regard to the simulation of various hair styles. First, we propose a novel method to reconstruct simulatable hair strands from hair meshes created by artists. Manually created hair meshes consist of numerous mesh patches, and the strand reconstruction process is challenged by the absence of connectivity information among the patches for the same strand and the omission of hidden parts of strands due to the manual creation process. To this end, we develop a two-stage spectral clustering method for estimating the degree of connectivity among patches and a strand-growing method that preserves hairstyles. Next, we develop a hairstyle classification method for style-specific simulations. In particular, we propose a set of features for efficient classifications and show that classifiers trained with the proposed features have higher accuracy than those trained with naive features. Our method applies efficient simulation methods according to the hairstyle without specific user input, and thus is favorable for real-time simulation.en_US
dc.description.number2
dc.description.sectionheadersPhysical Simulation
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13367
dc.identifier.issn1467-8659
dc.identifier.pages355-363
dc.identifier.urihttps://doi.org/10.1111/cgf.13367
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13367
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectPhysical simulation
dc.subjectClustering and classification
dc.subjectShape analysis
dc.titleHair Modeling and Simulation by Styleen_US
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