A data-driven reflectance model
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In this paper, a generative model for isotropic bidirectional reflectance distribution functions (BRDFs) based on acquired reflectance data is presented, instead of using analytical reflectance models.Abstract:
We present a generative model for isotropic bidirectional reflectance distribution functions (BRDFs) based on acquired reflectance data. Instead of using analytical reflectance models, we represent...read more
Citations
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Proceedings ArticleDOI
Experimental analysis of BRDF models
TL;DR: This work evaluates several well-known analytical models in terms of their ability to fit measured BRDFs, and shows that using a sampled microfacet distribution computed from measurements improves the fit and qualitatively reproduces the measurements.
Proceedings ArticleDOI
Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination
TL;DR: A realtime shading model that uses independently estimated normal maps for the specular and diffuse color channels to reproduce some of the perceptually important effects of subsurface scattering is presented.
Journal ArticleDOI
Transient attributes for high-level understanding and editing of outdoor scenes
TL;DR: This work studies "transient scene attributes" -- high level properties which affect scene appearance, such as "snow", "autumn", "dusk", "fog", and defines 40 transient attributes and uses crowdsourcing to annotate thousands of images from 101 webcams to train regressors that can predict the presence of attributes in novel images.
Journal ArticleDOI
Shape and Spatially-Varying BRDFs from Photometric Stereo
TL;DR: A photometric stereo method designed for surfaces with spatially-varying BRDFs, including surfaces with both varying diffuse and specular properties, yielding accurate rerenderings under novel lighting conditions for a wide variety of objects.
Journal ArticleDOI
Example-based photometric stereo: shape reconstruction with general, varying BRDFs
Aaron Hertzmann,Steven M. Seitz +1 more
TL;DR: This paper presents a technique for computing the geometry of objects with general reflectance properties from images that can handle objects with arbitrary and spatially-varying BRDFs.
References
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Journal ArticleDOI
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Journal ArticleDOI
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