Simulation study of a refined approach for specular surfaces reconstruction in deflectometry

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

Abstract

Regularization is a necessary step in deflectometry method to solve the inherent ambiguity by incorporating additional information. When the detected surface is large, complicated or convex, regularization by stereo methods could only provide normal vector information within a small overlapping region. In this case, a refined approach for the estimation of normal fields of the non-overlapping surface points resulting from the overlapping data is considerable. In this paper, a new method based on the approximation that normal vector of one point is perpendicular to the vector of connecting points at either side is proposed to calculate the non-overlapping normal information. Then the surface shape is obtained by integrating the normal fields with least-square 2D integration method. Simulation work with noisy data on a convex specular surface verifies its feasibility and accuracy.

Original languageEnglish
Title of host publicationProceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, (EUSPEN), (University of Nottingham; 30 May - 3 June 2016)
Publishereuspen
Number of pages4
ISBN (Electronic)9780956679086
Publication statusPublished - 2016
Event16th International Conference of the European Society for Precision Engineering and Nanotechnology - East Midlands Conference Centre, Nottingham, United Kingdom
Duration: 30 May 20163 Jun 2016
Conference number: 16
https://www.euspen.eu/events/16th-international-conference-exhibition/ (Link to Conference Website)

Conference

Conference16th International Conference of the European Society for Precision Engineering and Nanotechnology
Abbreviated titleEUSPEN 2016
CountryUnited Kingdom
CityNottingham
Period30/05/163/06/16
OtherThis event offers the possibility to see latest advances in traditional precision engineering fields such as metrology, ultra precision machining, additive and replication processes, precision mechatronic systems & control and precision cutting processes.
Internet address

Fingerprint

Surface reconstruction
simulation
ambiguity
approximation

Cite this

Gao, F., Ren, H., & Jiang, X. (2016). Simulation study of a refined approach for specular surfaces reconstruction in deflectometry. In Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, (EUSPEN), (University of Nottingham; 30 May - 3 June 2016) euspen.
Gao, Feng ; Ren, Hongyu ; Jiang, Xiangqian. / Simulation study of a refined approach for specular surfaces reconstruction in deflectometry. Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, (EUSPEN), (University of Nottingham; 30 May - 3 June 2016). euspen, 2016.
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title = "Simulation study of a refined approach for specular surfaces reconstruction in deflectometry",
abstract = "Regularization is a necessary step in deflectometry method to solve the inherent ambiguity by incorporating additional information. When the detected surface is large, complicated or convex, regularization by stereo methods could only provide normal vector information within a small overlapping region. In this case, a refined approach for the estimation of normal fields of the non-overlapping surface points resulting from the overlapping data is considerable. In this paper, a new method based on the approximation that normal vector of one point is perpendicular to the vector of connecting points at either side is proposed to calculate the non-overlapping normal information. Then the surface shape is obtained by integrating the normal fields with least-square 2D integration method. Simulation work with noisy data on a convex specular surface verifies its feasibility and accuracy.",
keywords = "Deflectometry, Finite difference method, Specular surfaces reconstruction",
author = "Feng Gao and Hongyu Ren and Xiangqian Jiang",
year = "2016",
language = "English",
booktitle = "Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, (EUSPEN), (University of Nottingham; 30 May - 3 June 2016)",
publisher = "euspen",

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Gao, F, Ren, H & Jiang, X 2016, Simulation study of a refined approach for specular surfaces reconstruction in deflectometry. in Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, (EUSPEN), (University of Nottingham; 30 May - 3 June 2016). euspen, 16th International Conference of the European Society for Precision Engineering and Nanotechnology, Nottingham, United Kingdom, 30/05/16.

Simulation study of a refined approach for specular surfaces reconstruction in deflectometry. / Gao, Feng; Ren, Hongyu; Jiang, Xiangqian.

Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, (EUSPEN), (University of Nottingham; 30 May - 3 June 2016). euspen, 2016.

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

TY - GEN

T1 - Simulation study of a refined approach for specular surfaces reconstruction in deflectometry

AU - Gao, Feng

AU - Ren, Hongyu

AU - Jiang, Xiangqian

PY - 2016

Y1 - 2016

N2 - Regularization is a necessary step in deflectometry method to solve the inherent ambiguity by incorporating additional information. When the detected surface is large, complicated or convex, regularization by stereo methods could only provide normal vector information within a small overlapping region. In this case, a refined approach for the estimation of normal fields of the non-overlapping surface points resulting from the overlapping data is considerable. In this paper, a new method based on the approximation that normal vector of one point is perpendicular to the vector of connecting points at either side is proposed to calculate the non-overlapping normal information. Then the surface shape is obtained by integrating the normal fields with least-square 2D integration method. Simulation work with noisy data on a convex specular surface verifies its feasibility and accuracy.

AB - Regularization is a necessary step in deflectometry method to solve the inherent ambiguity by incorporating additional information. When the detected surface is large, complicated or convex, regularization by stereo methods could only provide normal vector information within a small overlapping region. In this case, a refined approach for the estimation of normal fields of the non-overlapping surface points resulting from the overlapping data is considerable. In this paper, a new method based on the approximation that normal vector of one point is perpendicular to the vector of connecting points at either side is proposed to calculate the non-overlapping normal information. Then the surface shape is obtained by integrating the normal fields with least-square 2D integration method. Simulation work with noisy data on a convex specular surface verifies its feasibility and accuracy.

KW - Deflectometry

KW - Finite difference method

KW - Specular surfaces reconstruction

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M3 - Conference contribution

BT - Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, (EUSPEN), (University of Nottingham; 30 May - 3 June 2016)

PB - euspen

ER -

Gao F, Ren H, Jiang X. Simulation study of a refined approach for specular surfaces reconstruction in deflectometry. In Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, (EUSPEN), (University of Nottingham; 30 May - 3 June 2016). euspen. 2016