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dc.contributor.authorMarschner, Stephen R.en_US
dc.contributor.authorWestin, Stephen H.en_US
dc.contributor.authorLafortune, Eric P. F.en_US
dc.contributor.authorTorrance, Kenneth E.en_US
dc.contributor.authorGreenberg, Donald P.en_US
dc.contributor.editorDani Lischinski and Greg Ward Larsonen_US
dc.date.accessioned2014-01-27T13:43:50Z
dc.date.available2014-01-27T13:43:50Z
dc.date.issued1999en_US
dc.identifier.isbn3-211-83382-Xen_US
dc.identifier.issn1727-3463en_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGWR/EGWR99/131-144en_US
dc.description.abstractWe present a new image-based process for measuring the bidirectional reflectance of homogeneous surfaces rapidly, completely, and accurately. For simple sample shapes (spheres and cylinders) the method requires only a digital camera and a stable light source. Adding a 3D scanner allows a wide class of curved near-convex objects to be measured. With measurements for a variety of materials from paints to human skin, we demonstrate the new method s ability to achieve high resolution and accuracy over a large domain of illumination and reflection directions. We verify our measurements by tests of internal consistency and by comparison against measurements made using a gonioreflectometer.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleImage-Based BRDF Measurement Including Human Skinen_US
dc.description.seriesinformationEurographics Workshop on Renderingen_US


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