Exploring Material Recognition for Estimating Reflectance and Illumination From a Single Image

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dc.contributor.authorWeinmann, Michaelen_US
dc.contributor.authorKlein, Reinharden_US
dc.contributor.editorReinhard Klein and Holly Rushmeieren_US
dc.date.accessioned2016-07-18T16:44:21Z
dc.date.available2016-07-18T16:44:21Z
dc.date.issued2016
dc.description.abstractIn this paper, we propose a novel approach for recovering illumination and reflectance from a single image. Our approach relies on the assumption that the surface geometry has already been reconstructed and a-priori knowledge in form of a database of digital material models is available. The first step of our technique consists in recognizing the respective material in the image using synthesized training data based on the given material database. Subsequently, the illumination conditions are estimated based on the recognized material and the surface geometry. Using this novel strategy we demonstrate that reflectance and illumination can be estimated reliably for several materials that are beyond simple Lambertian surface reflectance behavior because of exhibiting mesoscopic effects such as interreflections and shadows.en_US
dc.description.sectionheadersHuman and Machine Vision
dc.description.seriesinformationWorkshop on Material Appearance Modeling
dc.identifier.doi10.2312/mam.20161253
dc.identifier.isbn978-3-03868-007-9
dc.identifier.issn2309-5059
dc.identifier.pages27-34
dc.identifier.urihttps://doi.org/10.2312/mam.20161253
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/mam20161253
dc.publisherThe Eurographics Associationen_US
dc.subjectI.2.10 [Artificial Intelligence]
dc.subjectVision and Scene Understanding
dc.subjectIntensity
dc.subjectcolor
dc.subjectphotometry
dc.subjectthresholding
dc.subjectModeling and recovery of physical attributes
dc.subjectI.3.7 [Computer Graphics]
dc.subjectThree Dimensional Graphics and Realism
dc.subjectColor
dc.subjectshading
dc.subjectshadowing
dc.subjectand texture
dc.subjectI.4.2 [Image Processing and Computer Vision]
dc.subjectScene Analysis
dc.subjectColor
dc.subjectPhotometry
dc.titleExploring Material Recognition for Estimating Reflectance and Illumination From a Single Imageen_US
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MAM2016: Eurographics Workshop on Material Appearance Modeling