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

W. Zeng; X. Jiang; P. Scott

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010
Publisher	euspen
Pages	508-511
Number of pages	4
Volume	1
ISBN (Electronic)	9780955308284
Publication status	Published - 2010
Event	10th International Conference of the European Society for Precision Engineering and Nanotechnology - Delft, Netherlands Duration: 31 May 2010 → 4 Jun 2010 Conference number: 10

Conference

Conference	10th International Conference of the European Society for Precision Engineering and Nanotechnology
Abbreviated title	EUSPEN 2010
Country/Territory	Netherlands
City	Delft
Period	31/05/10 → 4/06/10

Cite this

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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",

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booktitle = "Proceedings of the 10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010",

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note = "10th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2010 ; Conference date: 31-05-2010 Through 04-06-2010",

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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 proceeding › Conference contribution › peer-review

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

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AU - Jiang, X.

AU - Scott, P.

N1 - Conference code: 10

PY - 2010

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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.

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SP - 508

EP - 511

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

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Y2 - 31 May 2010 through 4 June 2010

ER -

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

Abstract

Conference

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