期刊
ACM TRANSACTIONS ON GRAPHICS
卷 37, 期 6, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3272127.3275018
关键词
SVBRDF acquisition; polarization
资金
- Korea NRF [2016R1A2B2013031, 2013M3A6A6073718]
- Microsoft Research Asia
- KOCCA in MCST of Korea
- Cross-Ministry Giga KOREA Project [GK17P0200]
- Samsung Electronics [SRFC-IT1402-02]
- ICT R&D program of MSJT/IJTP of Korea [2017-0-00072, 2016-0-00018]
- National Research Foundation of Korea [2016R1A2B2013031] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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 angular 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 reflection. 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 complete 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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据