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Efficient isotropic BRDF measurement

Published: 25 June 2003 Publication History

Abstract

In this paper we present novel reflectance measurement procedures that require fewer total measurements than standard uniform sampling approaches. First, we acquire densely sampled reflectance data for a large collection of different materials. Using these densely sampled measurements we analyze the general surface reflectance function to determine the local signal variation at each point in the function's domain. We then use wavelet analysis to derive a common basis for all of the acquired reflectance functions as well as a corresponding non-uniform sampling pattern that corresponds to all non-zero wavelet coefficients. Second, we show that the reflectance of an arbitrary material can be represented as a linear combination of the surface reflectance functions. Furthermore, our analysis provides a reduced set of sampling points that permits us to robustly estimate the coefficients of this linear combination. These procedures dramatically shorten the acquisition time for isotropic reflectance measurements. We present a detailed description and analysis of our measurement approaches and sampling strategies.

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  • (2023)Towards Material Digitization with a Dual-scale Optical SystemACM Transactions on Graphics10.1145/359214742:4(1-13)Online publication date: 26-Jul-2023
  • (2021)A Compact Representation of Measured BRDFs Using Neural ProcessesACM Transactions on Graphics10.1145/349038541:2(1-15)Online publication date: 29-Nov-2021
  • (2018)An adaptive parameterization for efficient material acquisition and renderingACM Transactions on Graphics10.1145/3272127.327505937:6(1-14)Online publication date: 4-Dec-2018
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          cover image ACM Other conferences
          EGRW '03: Proceedings of the 14th Eurographics workshop on Rendering
          June 2003
          320 pages
          ISBN:3905673037

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          • EUROGRAPHICS: The European Association for Computer Graphics

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          Eurographics Association

          Goslar, Germany

          Publication History

          Published: 25 June 2003

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          EGSR03: Eurographics Symposium on Rendering 2003
          June 25 - 27, 2003
          Leuven, Belgium

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          View all
          • (2023)Towards Material Digitization with a Dual-scale Optical SystemACM Transactions on Graphics10.1145/359214742:4(1-13)Online publication date: 26-Jul-2023
          • (2021)A Compact Representation of Measured BRDFs Using Neural ProcessesACM Transactions on Graphics10.1145/349038541:2(1-15)Online publication date: 29-Nov-2021
          • (2018)An adaptive parameterization for efficient material acquisition and renderingACM Transactions on Graphics10.1145/3272127.327505937:6(1-14)Online publication date: 4-Dec-2018
          • (2018)Connecting measured BRDFs to analytic BRDFs by data-driven diffuse-specular separationACM Transactions on Graphics10.1145/3272127.327502637:6(1-15)Online publication date: 4-Dec-2018
          • (2018)Efficient reflectance capture using an autoencoderACM Transactions on Graphics10.1145/3197517.320127937:4(1-10)Online publication date: 30-Jul-2018
          • (2017)Towards sparse and multiplexed acquisition of material BTFsProceedings of the Workshop on Material Appearance Modeling10.2312/mam.20171326(17-20)Online publication date: 18-Jun-2017
          • (2017)BRDF reconstruction from real object using reconstructed geometry of multi-view imagesSIGGRAPH Asia 2017 Technical Briefs10.1145/3145749.3149426(1-4)Online publication date: 27-Nov-2017
          • (2017)Material capture and representation with applications in virtual realityACM SIGGRAPH 2017 Courses10.1145/3084873.3084918(1-72)Online publication date: 30-Jul-2017
          • (2016)Minimal Sampling for Effective Acquisition of Anisotropic BRDFsComputer Graphics Forum10.5555/3151666.315169735:7(299-309)Online publication date: 1-Oct-2016
          • (2016)Isotropic BRDF measurements with quantified uncertaintiesProceedings of the Eurographics 2016 Workshop on Material Appearance Modeling10.5555/3061347.3061352(9-14)Online publication date: 22-Jun-2016
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