A Fast Algorithm for the 2nd Order Robust Areal Gaussian Regression Filter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a fast algorithm based on the discrete model of the second order Robust Gaussian regression filters for areal surface analysis is introduced. Simulated and measured engineering surfaces have been used to test the algorithm. Results show that with the same accuracy, the processing time of the fast algorithm for a typical 1024∗1024 points dataset is reduced to under several seconds from the several hours of the previous algorithm.

LanguageEnglish
Title of host publicationProceedings of the 10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010
Publishereuspen
Pages508-511
Number of pages4
Volume1
ISBN (Electronic)9780955308284
Publication statusPublished - 2010
Event10th International Conference of the European Society for Precision Engineering and Nanotechnology - Delft, Netherlands
Duration: 31 May 20104 Jun 2010
Conference number: 10

Conference

Conference10th International Conference of the European Society for Precision Engineering and Nanotechnology
Abbreviated titleEUSPEN 2010
CountryNetherlands
CityDelft
Period31/05/104/06/10

Fingerprint

regression analysis
filters
Surface analysis
engineering
Processing

Cite this

Zeng, W., Jiang, X., & Scott, P. (2010). A Fast Algorithm for the 2nd Order Robust Areal Gaussian Regression Filter. In Proceedings of the 10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010 (Vol. 1, pp. 508-511). euspen.
Zeng, W. ; Jiang, X. ; Scott, P. / A Fast Algorithm for the 2nd Order Robust Areal Gaussian Regression Filter. Proceedings of the 10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010. Vol. 1 euspen, 2010. pp. 508-511
@inproceedings{c392aed1b4db4fd3a4e1a259627128c6,
title = "A Fast Algorithm for the 2nd Order Robust Areal Gaussian Regression Filter",
abstract = "In this paper, a fast algorithm based on the discrete model of the second order Robust Gaussian regression filters for areal surface analysis is introduced. Simulated and measured engineering surfaces have been used to test the algorithm. Results show that with the same accuracy, the processing time of the fast algorithm for a typical 1024∗1024 points dataset is reduced to under several seconds from the several hours of the previous algorithm.",
author = "W. Zeng and X. Jiang and P. Scott",
year = "2010",
language = "English",
volume = "1",
pages = "508--511",
booktitle = "Proceedings of the 10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010",
publisher = "euspen",

}

Zeng, W, Jiang, X & Scott, P 2010, A Fast Algorithm for the 2nd Order Robust Areal Gaussian Regression Filter. in Proceedings of the 10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010. vol. 1, euspen, pp. 508-511, 10th International Conference of the European Society for Precision Engineering and Nanotechnology, Delft, Netherlands, 31/05/10.

A Fast Algorithm for the 2nd Order Robust Areal Gaussian Regression Filter. / Zeng, W.; Jiang, X.; Scott, P.

Proceedings of the 10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010. Vol. 1 euspen, 2010. p. 508-511.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A Fast Algorithm for the 2nd Order Robust Areal Gaussian Regression Filter

AU - Zeng, W.

AU - Jiang, X.

AU - Scott, P.

PY - 2010

Y1 - 2010

N2 - In this paper, a fast algorithm based on the discrete model of the second order Robust Gaussian regression filters for areal surface analysis is introduced. Simulated and measured engineering surfaces have been used to test the algorithm. Results show that with the same accuracy, the processing time of the fast algorithm for a typical 1024∗1024 points dataset is reduced to under several seconds from the several hours of the previous algorithm.

AB - In this paper, a fast algorithm based on the discrete model of the second order Robust Gaussian regression filters for areal surface analysis is introduced. Simulated and measured engineering surfaces have been used to test the algorithm. Results show that with the same accuracy, the processing time of the fast algorithm for a typical 1024∗1024 points dataset is reduced to under several seconds from the several hours of the previous algorithm.

UR - http://www.scopus.com/inward/record.url?scp=84911408419&partnerID=8YFLogxK

UR - https://www.tib.eu/en/search/id/TIBKAT%3A627396577/Proceedings-of-the-10th-International-Conference/

M3 - Conference contribution

VL - 1

SP - 508

EP - 511

BT - Proceedings of the 10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010

PB - euspen

ER -

Zeng W, Jiang X, Scott P. A Fast Algorithm for the 2nd Order Robust Areal Gaussian Regression Filter. In Proceedings of the 10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010. Vol. 1. euspen. 2010. p. 508-511