An image-space parallel convolution filtering algorithm based on shadow map

Hua Li; Huamin Yang; Jianping Zhao

doi:10.1117/12.2281728

21 July 2017 An image-space parallel convolution filtering algorithm based on shadow map

Hua Li, Huamin Yang, Jianping Zhao

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104201O (2017) https://doi.org/10.1117/12.2281728
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

Shadow mapping is commonly used in real-time rendering. In this paper, we presented an accurate and efficient method of soft shadows generation from planar area lights. First this method generated a depth map from light’s view, and analyzed the depth-discontinuities areas as well as shadow boundaries. Then these areas were described as binary values in the texture map called binary light-visibility map, and a parallel convolution filtering algorithm based on GPU was enforced to smooth out the boundaries with a box filter. Experiments show that our algorithm is an effective shadow map based method that produces perceptually accurate soft shadows in real time with more details of shadow boundaries compared with the previous works.

Citation Download Citation

Hua Li, Huamin Yang, and Jianping Zhao "An image-space parallel convolution filtering algorithm based on shadow map", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104201O (21 July 2017); https://doi.org/10.1117/12.2281728

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