Smoothing head scan data with generalized cross validation

Haian Fang; Joseph H. Nurre

doi:10.1117/12.162128

22 October 1993 Smoothing head scan data with generalized cross validation

Haian Fang, Joseph H. Nurre

Proceedings Volume 2067, Videometrics II; (1993) https://doi.org/10.1117/12.162128
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

Citation Download Citation

Haian Fang and Joseph H. Nurre "Smoothing head scan data with generalized cross validation", Proc. SPIE 2067, Videometrics II, (22 October 1993); https://doi.org/10.1117/12.162128

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