Abstract
Abstract
 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 associate this process due to the environmental noises and limitation of the used scanners. So, in the present paper a data pre-processing algorithm has been proposed to obtain the necessary geometric features and mathematical representation of scanned object from its point cloud which obtained using 3D laser scanner (Matter and Form) through isolating the noised points. The proposed algorithm based on continuous calculations of chord angle between each adjacent pair of points in point cloud. A MATLAB program has been built to perform the proposed algorithm which implemented using a suggested case studies with cylinder and dome shape. The resulted point cloud from application the proposed algorithm and result of surface fitting for the case studies has been proved the proficiency of the proposed chord angle algorithm in pre-processing of data points and clean the point cloud, where the percent of data which was ignored as noisy data points according to proposed chord angle algorithm was arrived to (81.52%) and (75.01%)of total number of data points in point cloud for first and second case study respectively.
Highlights
As result to developments of 3D laser scanners in previous years, were pushed the interesting to obtain a surfaces representations and reconstructions of the 3D parts from its points cloud was obtained by such techniques
From the results of application of the proposed chord angle algorithm for simplifying the points cloud, the first file belong to cylinder case study was contains only(97528) total points, for just single pre-processing attempt the noise points percent was equal to (81.52%), which was ignored as an unrequired points, while the dome case study file was contains (270532) points and the deleted points percent become (75.01%), when executing the adopted algorithm for one attempts
The obtaining point clouds which were resulted from application the introduced chord angle algorithm were used to gives the surface representations of the studied case studies using the facilities of MATLAB program
Summary
As result to developments of 3D laser scanners in previous years, were pushed the interesting to obtain a surfaces representations and reconstructions of the 3D parts from its points cloud was obtained by such techniques. This points cloud is involving some unnecessary and noisy data points, due to the resolution of some scanners and the reflectivity property of the scanned surfaces, the contrast problems. Present work proposes a data point cloud pre-processing algorithm which based on calculation of the chord angle for simplifying the stream lines of point cloud.
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