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Proceedings Paper

Smoothing head scan data with generalized cross validation
Author(s): Haian Fang; Joseph H. Nurre
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Paper Abstract

One of the difficult problems encountered in range image data is eliminating noise without removing structure. Generalized Cross Validation (GCV) is one method for determining filter size to achieve this compromise. GCV has been employed with the Gaussian filter to choose among the infinite number of filter sizes available for smoothing range data. The Gaussian filter is a desirable filter because of its scale space properties. In this study, noise range data was estimated and GCV was used to determine Gaussian filter size. GCV provides an effective way for solving range image problems where noise level information is not available.

Paper Details

Date Published: 22 October 1993
PDF: 7 pages
Proc. SPIE 2067, Videometrics II, (22 October 1993); doi: 10.1117/12.162128
Show Author Affiliations
Haian Fang, Ohio Univ. (United States)
Joseph H. Nurre, Ohio Univ. (United States)

Published in SPIE Proceedings Vol. 2067:
Videometrics II
Sabry F. El-Hakim, Editor(s)

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