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Graph."],"published-print":{"date-parts":[[2013,9]]},"abstract":"<jats:p>Multiple scattering contributes critically to the characteristic translucent appearance of food, liquids, skin, and crystals; but little is known about how it is perceived by human observers. This article explores the perception of translucency by studying the image effects of variations in one factor of multiple scattering: the phase function. We consider an expanded space of phase functions created by linear combinations of Henyey-Greenstein and von Mises-Fisher lobes, and we study this physical parameter space using computational data analysis and psychophysics.<\/jats:p><jats:p>Our study identifies a two-dimensional embedding of the physical scattering parameters in a perceptually meaningful appearance space. Through our analysis of this space, we find uniform parameterizations of its two axes by analytical expressions of moments of the phase function, and provide an intuitive characterization of the visual effects that can be achieved at different parts of it. We show that our expansion of the space of phase functions enlarges the range of achievable translucent appearance compared to traditional single-parameter phase function models. Our findings highlight the important role phase function can have in controlling translucent appearance, and provide tools for manipulating its effect in material design applications.<\/jats:p>","DOI":"10.1145\/2516971.2516972","type":"journal-article","created":{"date-parts":[[2013,10,17]],"date-time":"2013-10-17T12:23:34Z","timestamp":1382012614000},"page":"1-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":69,"title":["Understanding the role of phase function in translucent appearance"],"prefix":"10.1145","volume":"32","author":[{"given":"Ioannis","family":"Gkioulekas","sequence":"first","affiliation":[{"name":"Harvard School of Engineering and Applied Sciences, Cambridge, MA"}]},{"given":"Bei","family":"Xiao","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology, Cambridge, MA"}]},{"given":"Shuang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Cornell University, Ithaca, NY"}]},{"given":"Edward H.","family":"Adelson","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology, Cambridge, MA"}]},{"given":"Todd","family":"Zickler","sequence":"additional","affiliation":[{"name":"Harvard School of Engineering and Applied Sciences, Cambridge, MA"}]},{"given":"Kavita","family":"Bala","sequence":"additional","affiliation":[{"name":"Cornell University, Ithaca, NY"}]}],"member":"320","published-online":{"date-parts":[[2013,10,8]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.429489"},{"key":"e_1_2_2_2_1","unstructured":"Amazon Elastic Compute Cloud. 2013. http:\/\/aws.amazon.com\/ec2\/. 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