Method for applying spherical harmonic lighting technology to surface rendering

Abstract

Disclosed is a method for applying a spherical harmonic lighting technology to surface rendering. In the method, a texture backfill method is used so that the spherical harmonic lighting technology can be applied to the surface rendering. Therefore, carrying out discrete sampling on each surface patch in a surface model so that the surface model is converted into a point model; obtaining a spherical harmonic coefficient group of each point through a spherical harmonic lighting method; according to each discrete point and a corresponding spherical harmonic coefficient group of the point, generating a group of spherical harmonic coefficient textures for each face through the texture backfill method; finally, rendering the surface model through a surface rendering method and programming through GPU rendering pipelines so that spherical harmonic lighting simulation is completed. The method for applying the spherical harmonic lighting technology to the surface rendering improves a rendering quality obviously on the premise that a rendering efficiency is not sacrificed. At the same time, the method is capable of improving the rendering efficiency in a certain degree and overcoming different deformation problems generated by overlap of points or inadequacy of coverage ranges in rendering.

Description

technical field [0001] The invention relates to a method for applying spherical harmonic lighting technology to surface rendering. Background technique [0002] Spherical harmonic function is a signal processing tool similar to Fourier transform. In 2002, Kautz et al. applied it to the lighting simulation of graphics volume rendering, and obtained good results and high rendering speed. In addition, the application of spherical harmonics in graphics also includes surface reconstruction, recognition and other fields. [0003] The research and application of spherical harmonic illumination theory mostly focus on the modeling and solution of illumination models. Kautz et al. established an illumination model based on the energy transfer model and solved it using spherical harmonic functions to achieve the purpose of efficient illumination calculation; Alexander simulated the illumination in organisms and solved it efficiently using spherical harmonic functions; Zhong et al. sol...

AI Technical Summary

Problems solved by technology

However, the rasterization stage of volume rendering often needs to solve problems such as aliasing, point element scaling and GPU rendering support, which affects the rendering efficiency to s...

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