dc.creatorSaracchini, RFV
dc.creatorStolfi, J
dc.creatorLeitao, HCG
dc.creatorAtkinson, GA
dc.creatorSmith, ML
dc.date2013
dc.dateDEC
dc.date2014-07-30T18:28:07Z
dc.date2015-11-26T16:53:38Z
dc.date2014-07-30T18:28:07Z
dc.date2015-11-26T16:53:38Z
dc.date.accessioned2018-03-28T23:40:49Z
dc.date.available2018-03-28T23:40:49Z
dc.identifierComputers In Industry. Elsevier Science Bv, v. 64, n. 9, n. 1399, n. 1410, 2013.
dc.identifier0166-3615
dc.identifier1872-6194
dc.identifierWOS:000327561100030
dc.identifier10.1016/j.compind.2013.04.003
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/71159
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/71159
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1276630
dc.descriptionWe show that using example-based photometric stereo, it is possible to achieve realistic reconstructions of the human face. The method can handle non-Lambertian reflectance and attached shadows after a simple calibration step. We use spherical harmonics to model and de-noise the illumination functions from images of a reference object with known shape, and a fast grid technique to invert those functions and recover the surface normal for each point of the target object. The depth coordinate is obtained by weighted multi-scale integration of these normals, using an integration weight mask obtained automatically from the images themselves. We have applied these techniques to improve the PHOTOFACE system of Hansen et al. (2010). (C) 2013 Elsevier B.V. All rights reserved.
dc.description64
dc.description9
dc.descriptionSI
dc.description1399
dc.description1410
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationComputers In Industry
dc.relationComput. Ind.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectPhotometric stereo
dc.subjectShape-from-shading
dc.subject3D surface reconstruction
dc.subjectFacial geometry capture
dc.subjectImage processing
dc.subjectRecognition
dc.subjectShape
dc.subjectGradient
dc.subjectReconstruction
dc.subjectIllumination
dc.subjectIntegration
dc.subjectSurfaces
dc.subjectShadows
dc.subjectAlbedo
dc.subjectImages
dc.titleRobust 3D face capture using example-based photometric stereo
dc.typeArtículos de revistas


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