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Dynamic facial appearance capture using six primaries

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dc.contributor.author Mahmud, Anika
dc.date.accessioned 2012-10-31T23:18:23Z
dc.date.available 2012-10-31T23:18:23Z
dc.date.copyright 2012 en_US
dc.date.issued 2012-10-31
dc.identifier.uri http://hdl.handle.net/2429/43560
dc.description.abstract Facial appearance changes as people talk, move and, change expression. The key indication of this change is the skin color. In current appearance models skin color is reconstructed by considering the scattering and absorption of light within skin layers caused by melanin and hemoglobin in a three dimensional color space. Capturing dynamic facial appearance requires capturing both the temporal deformation of facial geometry and the temporal change of skin color by measuring the hemoglobin concentration change. Existing passive multi-stereo capture systems can capture high resolution temporal facial geometry. Integrating skin appearance capture with the existing passive capture system is challenging because to capture facial appearance the system requires precise color calibration and cross polarization, which are inheritably not required in a facial capture system. Integrating them in the existing system requires expensive hardware and constrained capture setup. In this thesis we present a novel method that can capture dynamic facial appearance without changing the existing passive capture system. We use a six dimensional color space to reconstruct the skin color, which can be adapted easily to any existing capture pipeline. en_US
dc.language.iso eng en_US
dc.publisher University of British Columbia en
dc.title Dynamic facial appearance capture using six primaries en_US
dc.type Electronic Thesis or Dissertation en
dc.degree.name Master of Science - MSc en_US
dc.degree.discipline Computer Science en_US
dc.degree.grantor University of British Columbia en
dc.date.graduation 2013-05 en_US
dc.degree.campus UBCV en_US
dc.description.scholarlevel Graduate en


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