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Variational Bayesian noise estimation of point sets.

Yoon, Mincheol; Ivrissimtzis, Ioannis; Lee, Seungyong


Mincheol Yoon

Seungyong Lee


Scanning devices acquire geometric information from the surface of an object in the form of a 3D point set. Such point sets, as any data obtained by means of physical measurement, contain some noise. To create an accurate model of the scanned object, this noise should be resolved before or during the process of surface reconstruction. In this paper, we develop a statistical technique to estimate the noise in a scanned point set. The noise is represented as normal distributions with zero mean and their variances determine the amount of the noise. These distributions are estimated with a variational Bayesian method, which is known to provide more robust estimations than point estimate methods, such as maximum likelihood and maximum a posteriori. Validation experiments and further tests with real scan data show that the proposed technique can accurately estimate the noise in a 3D point set.


Yoon, M., Ivrissimtzis, I., & Lee, S. (2009). Variational Bayesian noise estimation of point sets. Computers and Graphics, 33(3), 226 - 234.

Journal Article Type Article
Publication Date 2009-06
Journal Computers & Graphics.
Print ISSN 0097-8493
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 33
Issue 3
Pages 226 - 234
Keywords Noise estimation; Variational Bayesian method