Shiny surface scanning and reconstruction in robot-laser systems
Laser stripe extraction is used extensively in industrial environments, as it is essential to 3D reconstructions of objects by triangulation laser scanning. However laser stripe extraction is highly sensitive to noise. When laser stripe extraction is used in industrial environments noise and uneven...
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2016
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sg-ntu-dr.10356-671082023-07-07T17:02:50Z Shiny surface scanning and reconstruction in robot-laser systems Carson, Robyn Christine Zhong Wende School of Electrical and Electronic Engineering DRNTU::Engineering Laser stripe extraction is used extensively in industrial environments, as it is essential to 3D reconstructions of objects by triangulation laser scanning. However laser stripe extraction is highly sensitive to noise. When laser stripe extraction is used in industrial environments noise and uneven surfaces are very common. These factors will modify the shape of the laser profile and so the reconstructed profile. This project proposes a solution that is a robust and accurate way to reconstruct the profile of a shiny surface when noise is present. Laser stripe extraction is used to reconstruct the profile, firstly using a simple laser peak detection method. A “smoothness” formula is then derived and applied to improve the laser peak detection algorithm. Bachelor of Engineering 2016-05-11T09:22:40Z 2016-05-11T09:22:40Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67108 en Nanyang Technological University 89 p. application/pdf |
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DRNTU::Engineering Carson, Robyn Christine Shiny surface scanning and reconstruction in robot-laser systems |
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Laser stripe extraction is used extensively in industrial environments, as it is essential to 3D reconstructions of objects by triangulation laser scanning. However laser stripe extraction is highly sensitive to noise. When laser stripe extraction is used in industrial environments noise and uneven surfaces are very common. These factors will modify the shape of the laser profile and so the reconstructed profile. This project proposes a solution that is a robust and accurate way to reconstruct the profile of a shiny surface when noise is present. Laser stripe extraction is used to reconstruct the profile, firstly using a simple laser peak detection method. A “smoothness” formula is then derived and applied to improve the laser peak detection algorithm. |
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Zhong Wende |
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Zhong Wende Carson, Robyn Christine |
format |
Final Year Project |
author |
Carson, Robyn Christine |
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Carson, Robyn Christine |
title |
Shiny surface scanning and reconstruction in robot-laser systems |
title_short |
Shiny surface scanning and reconstruction in robot-laser systems |
title_full |
Shiny surface scanning and reconstruction in robot-laser systems |
title_fullStr |
Shiny surface scanning and reconstruction in robot-laser systems |
title_full_unstemmed |
Shiny surface scanning and reconstruction in robot-laser systems |
title_sort |
shiny surface scanning and reconstruction in robot-laser systems |
publishDate |
2016 |
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http://hdl.handle.net/10356/67108 |
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1772825683040403456 |