Pre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique


Although the rapid development in reverse engineering techniques, 3D laser scanners can be considered the modern technology used to digitize the 3D objects, but some troubles may be associated with this process due to the environmental noises and limitation of the used scanners. So, in this paper a data pre-processing algorithm will be proposed to obtain the necessary geometric features and mathematical representation of scanned object from its point cloud which obtained by a (Matter and Form) 3D’s laser scanner through isolating the noised points. The proposed algorithm based on continuous calculations of chord angle between each adjacent pair of points in points cloud. MATLAB program has been built for perform the introduced algorithm which implemented using a suggested case studies with cylinder and dome shape. The resulted point cloud from application the proposed algorithm, and the result of surface fitting for the case studies has been ensured the proficiency of the introduced chord angle algorithm in pre-processing of data points and clean the points cloud. Where the data percent which was deleted as noised data points according to proposed chord angle algorithm was arrived to (81.52%) and (75.01%) of the total data points number in points cloud for first and second case studies, respectively.