Image-based BRDF Representation

Open access


To acquire a certain level of photorealism in computer graphics, it is necessary to analyze, how the materials scatter the incident light. In this work, we propose the method to direct rendering of isotropic bidirectional reflectance function (BRDF) from the small set of images. The image-based rendering is focused to synthesize as accurately as possible scenes composed of natural and artificial objects. The realistic image synthesis of BRDF data requires evaluation of radiance over the multiple directions of incident and scattered light from the surface. In our approach the images depict only the material reflectance, the shape is represented as the object geometry. We store the BRDF representation, acquired from the sample material, in a number of two-dimensional textures that contain images of spheres lit from the multiple directions. In order to render particular material, we interpolate between textures in the similar way the image morphing works. Our method allows the real-time rendering of tabulated BRDF data on low memory devices such as mobile phones.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Ashikhmin M. and Shirley P. 2000. An anisotropic phong brdf model. J. Graph. Tools 5 2 (Feb.) 25–32.

  • Cook R. L. and Torrance K. E. 1982. A reflectance model for computer graphics. ACM Trans. Graph. 1 1 7–24.

  • Ďurikovič R. Kolchin K. and Ershov S. 2002. Rendering of japanese artcraft. In Short Presentations of EUROGRAPHICS Conference. Braunschweig Germany 131–138.

  • Matusik W. Pfister H. Brand M. and McMillan L. 2003. A data-driven reflectance model. In SIGGRAPH ’03: ACM SIGGRAPH 2003 Papers. ACM New York NY USA 759–769.

  • O’Toole M. 2007. Real-time rendering of acquired BRDF data sets.

  • Tonsho K. Akao Y. Tsumura N. and Miyake Y. 2001. Development of goniophotometric imaging system for recording reflectance spectra of 3D objects. In Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series R. Eschbach and G. G. Marcu Eds. Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series vol. 4663. 370–378.

  • Ďurikovivč R. and Mihálik A. 2014. Modeling the BRDF from spectral reflectance measurements of metallic surfaces. Applied Surface Science 312 0 87 – 90.

  • Ward G. J. 1992. Measuring and modeling anisotropic reflection. SIGGRAPH Comput. Graph. 26 2 265–272.

  • Wynn C. 2001. Real-time brdf-based lighting using cube-maps. Available from

Journal information
Impact Factor
Mathematical Citation Quotient (MCQ) 2017: 0.06

Target audience:

researchers in the fields of informatics, information technologies, statistics and mathematics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 146 60 2
PDF Downloads 72 47 2