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Shape preserving data reduction for 3D surface points
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AI
DOI：10.1016/j.cad.2011.03.006.png)
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En 中文
In reverse engineering, vast amounts of point data captured by certain types of scanners significantly increase the complexity and reduce the efficiency in downstream activities, such as surface modelling and manufacturing. Data reduction has therefore become an important issue. A new data reduction algorithm for surface points is developed to preserve the original shape using an error metric based on a Hausdorff distance of principal curvature vectors. The performance of the proposed method is illustrated by its application to a test surface and an industrial surface. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Data reduction
Shape preserving
Hausdorff distance
Principal curvature vector
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C
IF:
3.1
论文数:
3.1K
被引数:
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