Shape and Spatially-Varying BRDFs from Photometric Stereo

被引:128
|
作者
Goldman, Dan B. [1 ]
Curless, Brian [2 ]
Hertzmann, Aaron [3 ]
Seitz, Steven M. [2 ]
机构
[1] Adobe Syst Inc, Seattle, WA 98103 USA
[2] Univ Washington, Dept Comp Sci & Engn, Seattle, WA 98195 USA
[3] Univ Toronto, Dept Comp Sci, Bahen Ctr, Toronto, ON M5S 2E4, Canada
基金
加拿大自然科学与工程研究理事会; 美国国家科学基金会;
关键词
Shape/scene analysis; reflectance digitization and image capture; RECONSTRUCTION; REFLECTANCE; RECIPROCITY;
D O I
10.1109/TPAMI.2009.102
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes a photometric stereo method designed for surfaces with spatially-varying BRDFs, including surfaces with both varying diffuse and specular properties. Our optimization-based method builds on the observation that most objects are composed of a small number of fundamental materials by constraining each pixel to be representable by a combination of at most two such materials. This approach recovers not only the shape but also material BRDFs and weight maps, yielding accurate rerenderings under novel lighting conditions for a wide variety of objects. We demonstrate examples of interactive editing operations made possible by our approach.
引用
收藏
页码:1060 / 1071
页数:12
相关论文
共 50 条
  • [1] Shape and spatially-varying BRDFs from photometric stereo
    Goldman, DB
    Curless, B
    Hertzmann, A
    Seitz, SM
    TENTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS 1 AND 2, PROCEEDINGS, 2005, : 341 - 348
  • [2] Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances
    Heng Guo
    Fumio Okura
    Boxin Shi
    Takuya Funatomi
    Yasuhiro Mukaigawa
    Yasuyuki Matsushita
    International Journal of Computer Vision, 2022, 130 : 2166 - 2183
  • [3] Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances
    Guo, Heng
    Okura, Fumio
    Shi, Boxin
    Funatomi, Takuya
    Mukaigawa, Yasuhiro
    Matsushita, Yasuyuki
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 130 (09) : 2166 - 2183
  • [4] Photometric stereo with non-parametric and spatially-varying reflectance
    Alldrin, Neil
    Zickler, Todd
    Kriegman, David
    2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12, 2008, : 2447 - +
  • [5] Single-image RGB Photometric Stereo With Spatially-varying Albedo
    Chakrabarti, Ayan
    Sunkavalli, Kalyan
    PROCEEDINGS OF 2016 FOURTH INTERNATIONAL CONFERENCE ON 3D VISION (3DV), 2016, : 258 - 266
  • [6] Example-based photometric stereo: Shape reconstruction with general, varying BRDFs
    Hertzmann, A
    Seitz, SM
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2005, 27 (08) : 1254 - 1264
  • [7] Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances: A well posed problem?
    Guo, Heng
    Okura, Fumio
    Shi, Boxin
    Funatomi, Takuya
    Mukaigawa, Yasuhiro
    Matsushita, Yasuyuki
    2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, 2021, : 963 - 971
  • [8] Shape and Spatially-Varying Reflectance Estimation from Virtual Exemplars
    Hui, Zhuo
    Sankaranarayanan, Aswin C.
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 39 (10) : 2060 - 2073
  • [9] Learning to Reconstruct Shape and Spatially-Varying Reflectance from a Single Image
    Li, Zhengqin
    Xu, Zexiang
    Ramamoorth, Ravi
    Sunkavalli, Kalyan
    Chandraker, Manmohan
    SIGGRAPH ASIA'18: SIGGRAPH ASIA 2018 TECHNICAL PAPERS, 2018,
  • [10] Learning to Reconstruct Shape and Spatially-Varying Reflectance from a Single Image
    Li, Zhengqin
    Xu, Zexiang
    Ramamoorth, Ravi
    Sunkavalli, Kalyan
    Chandraker, Manmohan
    ACM TRANSACTIONS ON GRAPHICS, 2018, 37 (06):