Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient

Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient

An improvement is made to the traditional 2D integration with least squares method by introducing an iterative compensation procedure. The issue of inaccurate reconstruction due to imperfection of Southwell grid model is solved through the introduced iterative compensations. The feasibility and supe...

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Main Authors: Huang, Lei, Asundi, Anand Krishna
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/98855
http://hdl.handle.net/10220/12693
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-988552023-03-04T17:07:17Z Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient Huang, Lei Asundi, Anand Krishna School of Mechanical and Aerospace Engineering Optical Micro- and Nanometrology (4th : 2012 : Brussels, Belgium) An improvement is made to the traditional 2D integration with least squares method by introducing an iterative compensation procedure. The issue of inaccurate reconstruction due to imperfection of Southwell grid model is solved through the introduced iterative compensations. The feasibility and superiority of the proposed method are investigated with simulations. Moreover, the proposed method is compared with the integration method with radial basis functions. Published version 2013-08-01T01:48:05Z 2019-12-06T20:00:27Z 2013-08-01T01:48:05Z 2019-12-06T20:00:27Z 2012 2012 Conference Paper Huang, L., & Asundi, A. K. (2012). Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient. Proceedings of SPIE - Optical Micro- and Nanometrology IV, 84300S. https://hdl.handle.net/10356/98855 http://hdl.handle.net/10220/12693 10.1117/12.921402 en © 2012 SPIE. This paper was published in Proceedings of SPIE - Optical Micro- and Nanometrology IV and is made available as an electronic reprint (preprint) with permission of SPIE. The paper can be found at the following official DOI: [http://dx.doi.org/10.1117/12.921402]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
description An improvement is made to the traditional 2D integration with least squares method by introducing an iterative compensation procedure. The issue of inaccurate reconstruction due to imperfection of Southwell grid model is solved through the introduced iterative compensations. The feasibility and superiority of the proposed method are investigated with simulations. Moreover, the proposed method is compared with the integration method with radial basis functions.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Huang, Lei
Asundi, Anand Krishna
format Conference or Workshop Item
author Huang, Lei
Asundi, Anand Krishna
spellingShingle Huang, Lei
Asundi, Anand Krishna
Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient
author_sort Huang, Lei
title Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient
title_short Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient
title_full Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient
title_fullStr Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient
title_full_unstemmed Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient
title_sort improvement of least squares integration method with iterative compensation for shape reconstruction from gradient
publishDate 2013
url https://hdl.handle.net/10356/98855
http://hdl.handle.net/10220/12693
_version_ 1759854164969521152

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