This article reports on a research project that used 3D data processing with advanced computer graphics tools.
The 3-D raw data coming from an optical profilometer often contains spiky noises and irregular grid, which make it difficult to analyze and difficult to store because of the enormously large size. The current study addressed these two issues for an optical profilometer by substantially reducing the spiky noise of the 3-D raw data from an optical profilometer and by rapidly re-sampling the raw data into regular grids at any pixel size and any orientation with advanced computer graphics tools. Experimental results are presented in this article to demonstrate the effectiveness of the proposed approach. (publisher abstract modified)