Adaptive slices for acquisition of anisotropic BRDF

0486116 - ÚTIA 2019 RIV CN eng J - Článek v odborném periodiku
Vávra, Radomír - Filip, Jiří
Adaptive slices for acquisition of anisotropic BRDF.
Computational Visual Media. Roč. 4, č. 1 (2018), s. 55-69. ISSN 2096-0433. E-ISSN 2096-0662
Grant CEP: GA ČR GA17-18407S
Institucionální podpora: RVO:67985556
Klíčová slova: anisotropic BRDF * slice * sampling
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2018/RO/vavra-0486116.pdf

BRDF continues to be used as a fundamental tool for representing material appearance in computer graphics. In this paper we present a practical adaptive method for acquisition of the anisotropic BRDF. It is based on a sparse adaptive measurement of the complete four-dimensional BRDF space by means of one-dimensional slices which form a sparse four-dimensional structure in the BRDF space and which can be measured by continuous movements of a light source and a sensor. Such a sampling approach is advantageous especially for gonioreflectometer-based measurement devices where the mechanical travel of a light source and a sensor creates a significant time constraint. In order to evaluate our method, we perform adaptive measurements of three materials and we simulate adaptive measurements of thirteen others. We achieve a four-times lower reconstruction error in comparison with the regular non-adaptive BRDF measurements given the same count of measured samples. Our method is almost twice better than a previous adaptive method, and it requires from two- to five-times less samples to achieve the same results as alternative approaches.

Trvalý link: http://hdl.handle.net/11104/0281411