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Underwater 3D Surface Scanning using Structured Light
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis.
2010 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In this thesis project, an underwater 3D scanner based on structured light has been constructed and developed. Two other scanners, based on stereoscopy and a line-swept laser, were also tested. The target application is to examine objects inside the water filled reactor vessel of nuclear power plants. Structured light systems (SLS) use a projector to illuminate the surface of the scanned object, and a camera to capture the surfaces' reflection. By projecting a series of specific line-patterns, the pixel columns of the digital projector can be identified off the scanned surface. 3D points can then be triangulated using ray-plane intersection. These points form the basis the final 3D model.

To construct an accurate 3D model of the scanned surface, both the projector and the camera need to be calibrated. In the implemented 3D scanner, this was done using the Camera Calibration Toolbox for Matlab. The codebase of this scanner comes from the Matlab implementation by Lanman & Taubin at Brown University. The code has been modified and extended to meet the needs of this project. An examination of the effects of the underwater environment has been performed, both theoretically and experimentally. The performance of the scanner has been analyzed, and different 3D model visualization methods have been tested.

In the constructed scanner, a small pico projector was used together with a high pixel count DSLR camera. Because these are both consumer level products, the cost of this system is just a fraction of commercial counterparts, which uses professional components. Yet, thanks to the use of a high pixel count camera, the measurement resolution of the scanner is comparable to the high-end of industrial structured light scanners.

Place, publisher, year, edition, pages
2010. , p. 54
Series
UPTEC F, ISSN 1401-5757 ; 10 063
Keyword [en]
3D scanner, structured light, point cloud, underwater, nuclear reactor, image analysis, nondestructive testing, NDE, nondestructive examination, NDE
National Category
Computer Vision and Robotics (Autonomous Systems) Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:uu:diva-138205OAI: oai:DiVA.org:uu-138205DiVA, id: diva2:378911
Uppsok
Technology
Supervisors
Examiners
Available from: 2011-01-10 Created: 2010-12-16 Last updated: 2018-01-12Bibliographically approved

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