DC Field | Value | Language |
---|---|---|
dc.contributor.author | Baek, Seung-Hwan | ko |
dc.contributor.author | Jeon, Daniel S | ko |
dc.contributor.author | Tong, Xin | ko |
dc.contributor.author | Kim, Min Hyuk | ko |
dc.date.accessioned | 2018-12-20T05:09:39Z | - |
dc.date.available | 2018-12-20T05:09:39Z | - |
dc.date.created | 2018-12-04 | - |
dc.date.created | 2018-12-04 | - |
dc.date.created | 2018-12-04 | - |
dc.date.created | 2018-12-04 | - |
dc.date.issued | 2018-11 | - |
dc.identifier.citation | ACM TRANSACTIONS ON GRAPHICS, v.37, no.6 | - |
dc.identifier.issn | 0730-0301 | - |
dc.identifier.uri | http://hdl.handle.net/10203/247611 | - |
dc.description.abstract | Capturing appearance often requires dense sampling in light-view space, which is often achieved in specialized, expensive hardware setups. With the aim of realizing a compact acquisition setup without multiple angu- lar samples of light and view, we sought to leverage an alternative optical property of light, polarization. To this end, we capture a set of polarimetric images with linear polarizers in front of a single projector and camera to obtain the appearance and normals of real-world objects. We encountered two technical challenges: First, no complete polarimetric BRDF model is available for modeling mixed polarization of both specular and diffuse reflec- tion. Second, existing polarization-based inverse rendering methods are not applicable to a single local illumination setup since they are formulated with the assumption of spherical illumination. To this end, we first present a com- plete polarimetric BRDF (pBRDF) model that can define mixed polarization of both specular and diffuse reflection. Second, by leveraging our pBRDF model, we propose a novel inverse-rendering method with joint optimization of pBRDF and normals to capture spatially-varying material appearance: per-material specular properties (including the refractive index, specular roughness and specular coefficient), per-pixel diffuse albedo and normals. Our method can solve the severely ill-posed inverse-rendering problem by carefully accounting for the physical relationship between polarimetric appearance and geometric properties. We demonstrate how our method overcomes limited sampling in light-view space for inverse rendering by means of polarization. | - |
dc.language | English | - |
dc.publisher | ASSOC COMPUTING MACHINERY | - |
dc.title | Simultaneous Acquisition of Polarimetric SVBRDF and Normals | - |
dc.type | Article | - |
dc.identifier.wosid | 000455953100089 | - |
dc.identifier.scopusid | 2-s2.0-85064810879 | - |
dc.type.rims | ART | - |
dc.citation.volume | 37 | - |
dc.citation.issue | 6 | - |
dc.citation.publicationname | ACM TRANSACTIONS ON GRAPHICS | - |
dc.identifier.doi | 10.1145/3272127.3275018 | - |
dc.contributor.localauthor | Kim, Min Hyuk | - |
dc.contributor.nonIdAuthor | Tong, Xin | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article; Proceedings Paper | - |
dc.subject.keywordAuthor | SVBRDF acquisition | - |
dc.subject.keywordAuthor | polarization | - |
dc.subject.keywordPlus | REFLECTANCE DISTRIBUTION FUNCTION | - |
dc.subject.keywordPlus | GEOMETRY | - |
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