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We assume a triangulated surface mesh is generated from the scanned point cloud.
These outliers are characterized with large measurement errors, which significantly deteriorate the quality of the scanned point cloud data.
In this paper, a bi-arc surface model is proposed to fit the scanned point clouds of a stamped part obtained by the reverse engineering.
Based on the scanned point cloud data, the three-dimensional numerical models of the external auditory canal, tympanic membrane and middle ear are established by using the reverse prototyping technology, as are the FEM models.
Reverse engineering of 3D industrial objects such as automobiles and electric appliances is typically performed by fitting B-spline surfaces to scanned point cloud data with a fairing term to ensure smoothness, which often smooths out sharp features.
By experiments conducted at the shipyard, 200 curved shell plates are extracted from the scanned point cloud data, and registrations are conducted between them and the designed CAD data using the proposed methods for an accuracy evaluation.
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An actual calibration is completed and the calibrated errors are used to correct the scanned point-cloud of a reactor.
Techniques based on sets of images obtained with different point-spread-functions (PSFs) engineered by an optical system are less popular and mostly restricted to microscopic systems, where a spot of light is projected onto the sample under investigation, which is then scanned point-by-point.
To solve this, the scanned points are divided into small parts by considering the jumps and sudden changes in directions.
Fig. 26 This figure shows the difference between the scanned points and the actual points of the object in Fig. 24.
This continues by the mapping of a sine wave to the line and adjusting its frequency and amplitude based on the distances of the scanned points.
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