Statistical Acquisition of Texture Appearance

dc.contributor.authorNgan, Addyen_US
dc.contributor.authorDurand, Frédoen_US
dc.contributor.editorTomas Akenine-Moeller and Wolfgang Heidrichen_US
dc.date.accessioned2014-01-27T14:55:24Z
dc.date.available2014-01-27T14:55:24Z
dc.date.issued2006en_US
dc.description.abstractWe propose a simple method to acquire and reconstruct material appearance with sparsely sampled data. Our technique renders elaborate view- and light-dependent effects and faithfully reproduces materials such as fabrics and knitwears. Our approach uses sparse measurements to reconstruct a full six-dimensional Bidirectional Texture Function (BTF). Our reconstruction only require input images from the top view to be registered, which is easy to achieve with a fixed camera setup. Bidirectional properties are acquired from a sparse set of viewing directions through image statistics and therefore precise registrations for these views are unnecessary. Our technique is based on multi-scale histograms of image pyramids. The full BTF is generated by matching the corresponding pyramid histograms to interpolated top-view images.We show that the use of multi-scale image statistics achieves a visually plausible appearance. However, our technique does not fully capture sharp specularities or the geometric aspects of parallax. Nonetheless, a large class of materials can be reproduced well with our technique, and our statistical characterization enables acquisition of such materials efficiently using a simple setup.en_US
dc.description.seriesinformationSymposium on Renderingen_US
dc.identifier.isbn3-905673-35-5en_US
dc.identifier.issn1727-3463en_US
dc.identifier.urihttps://doi.org/10.2312/EGWR/EGSR06/031-040en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realismen_US
dc.titleStatistical Acquisition of Texture Appearanceen_US
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