This article presents the results of an experiment, testing a novel approach that addresses two difficulties arising from three-dimensional, raw data obtained from an optical profilometer.
Often, the 3-D raw data coming from an optical profilometer contains spiky noises and irregular grids, which make it difficult to analyze and difficult to store because of the enormously large size. The authors of this paper aim to address these two issues for an optical profilometer by substantially reducing the spiky noise of the 3-D raw data from an optical profilometer and then rapidly re-sampling the raw data into regular grids at any pixel size and any orientation with advanced computer graphics tools. In this paper, the authors present results that demonstrate the effectiveness of the proposed approach. Publisher Abstract Provided