Title :
High Performance Rendering of Point Sampled Geometry
Author :
Cao, Xiao-ye ; Wang, Zhi-Yan ; Liang, Ying-hong
Author_Institution :
South China Univ. of Technol., Guangzhou
Abstract :
A novel approach for appearance and geometry completion over point-sampled geometry is presented in this paper. We use curved surfel to render the points on the juncture of two object, and flat ones for the rest of the surface. We also proposed a method for visibility detection. Finally, we introduced a partial pixel set of mask for image smoothing; this mask can remove the point noise and keep the contrast of the image.
Keywords :
computational geometry; image denoising; rendering (computer graphics); smoothing methods; curved surfel; geometry completion; high performance rendering; image contrast; image smoothing; point noise removal; point sampled geometry; visibility detection; Computational geometry; Computer graphics; Cybernetics; Image sampling; Machine learning; Pixel; Rendering (computer graphics); Shape; Smoothing methods; Surface reconstruction; Image restructure; Point-based render; Visibility detection;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370414
