Murat Kurt
I am currently an associate professor at International Computer Institute, Ege University. I graduated with M.Sc. and Ph.D. degrees from International Computer Institute, Ege University in 2007 and 2014, respectively. I received my B.Sc. degree from Department of Civil Engineering, Dokuz Eylül University in 2002. My research interests are in the field of computer graphics, with focuses on global illumination algorithms, realistic and physically-based rendering, appearance capture and appearance modeling.
Phone: +902323113227
Address: International Computer Institute, Ege University, Bornova, İzmir, TURKEY.
Phone: +902323113227
Address: International Computer Institute, Ege University, Bornova, İzmir, TURKEY.
less
InterestsView All (10)
Uploads
Papers
Subsurface scattering effects in translucent materials are represented by the multidimensional Bidirectional Scattering Surface Reflectance Distribution Function (BSSRDF). By exploiting the diffusion property of multiple scattering in optically thick materials, these eight dimensional (8D) BSSRDF can be reduced to a four dimensional (4D) function. To compactly represent tabulated measured 4D BSSRDFs and achieve accurate approximations, we used factorization based techniques, such as Tucker and Singular Value Decomposition (SVD). We showed that the proposed factored subsurface scattering models provide high compression ratio while maintaining visual fidelity.
To validate the performance of the proposed factored subsurface scattering models, extensive comparisons are carried out using measured heterogeneous subsurface scattering data sets.
Subsurface scattering effects in translucent materials are represented by the multidimensional Bidirectional Scattering Surface Reflectance Distribution Function (BSSRDF). By exploiting the diffusion property of multiple scattering in optically thick materials, these eight dimensional (8D) BSSRDF can be reduced to a four dimensional (4D) function. To compactly represent tabulated measured 4D BSSRDFs and achieve accurate approximations, we used factorization based techniques, such as Tucker and Singular Value Decomposition (SVD). We showed that the proposed factored subsurface scattering models provide high compression ratio while maintaining visual fidelity.
To validate the performance of the proposed factored subsurface scattering models, extensive comparisons are carried out using measured heterogeneous subsurface scattering data sets.