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Neural Computing and Applications

Erschienen in:

01.08.2015 | Original Article

An adaptive variation model for point cloud normal computation

verfasst von: Yang Yu, Qingbiao Wu, Yasir Khan, Minhong Chen

Erschienen in: Neural Computing and Applications | Ausgabe 6/2015

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Abstract

In this paper, we present a self-adapted statistic method to determine the coefficient of previous variation model that computes normal estimation together with orientation. Our coefficients differ from the preceding one by that every point has its own weight. The results show that our algorithm could give a better answer, especially when a single point cloud has folded parts as well as thick parts.

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Titel: An adaptive variation model for point cloud normal computation
verfasst von: Yang Yu
Qingbiao Wu
Yasir Khan
Minhong Chen
Publikationsdatum: 01.08.2015
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 6/2015
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-014-1782-y

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