Spherical harmonics scaling

  • Authors:
  • Jiaping Wang;Kun Xu;Kun Zhou;Stephen Lin;Shimin Hu;Baining Guo

  • Affiliations:
  • Institute of Computing Technology, Graduated School, Chinese Academy of Science, Beijing, China;Tsinghua University, Beijing, China;Microsoft Research Asia, Beijing, China;Microsoft Research Asia, Beijing, China;Tsinghua University, Beijing, China;Microsoft Research Asia, Beijing, China

  • Venue:
  • The Visual Computer: International Journal of Computer Graphics
  • Year:
  • 2006

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Abstract

In this paper, we present a new SH operation, called spherical harmonics scaling, to shrink or expand a spherical function in the frequency domain. We show that this problem can be elegantly formulated as a linear transformation of SH projections, which is efficient to compute and easy to implement on a GPU. Spherical harmonics scaling is particularly useful for extrapolating visibility and radiance functions at a sample point to points closer to or farther from an occluder or light source. With SH scaling, we present applications to low-frequency shadowing for general deformable object, and to efficient approximation of spherical irradiance functions within a mid-range illumination environment.