NDLI: A robust and efficient method for direct projection on point-sampled surfaces

Content Provider	Springer Nature Link
Author	Zhang, Ying Jie Ge, Li Ling
Copyright Year	2010
Abstract	A novel and robust approach for computing the direct projection onto a point cloud for a given 3D point with associated projection vector is proposed. An energy function is presented to model the active contour, and the curve evolving method is applied to track the projection in certain iterations. In each step of the iteration, the energies of the related points are used to estimate the step length and orientation of the evolution. Then the point’s position is continuously updated and approximates the solution until the given accuracy is reached. The proposed approach directly operates on the point cloud, which is followed by a refining process to correct the results for under-sampled regions. Since the algorithm is carried out on a small point set (i.e., the neighborhood of the test point, generally composed of 30∼60 points) it is not expensive computationally. By numerical experiments, the method has been demonstrated to be more robust and efficient than the existing direct projection approaches on processing discrete point clouds.
Starting Page	145
Ending Page	155
Page Count	11
File Format	PDF
ISSN	12298557
Journal	International Journal of Precision Engineering and Manufacturing
Volume Number	11
Issue Number	1
e-ISSN	20054602
Language	English
Publisher	Korean Society for Precision Engineering
Publisher Date	2010-04-17
Publisher Place	Springer
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Point-sampled surfaces Directed projection Energy function Reverse engineering Materials Science Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Mechanical Engineering Electrical and Electronic Engineering

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