Automated surface registration of 3D objects.

Remote Diffuse Optical Tomography (DOT) is an imaging technique that reconstructs the optical properties of biological tissue after illuminating light into them and detecting the scattered light with optical detectors. The aim of this project is to develop a laser scanning system that can be incorpo...

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Main Author: Tse, Chung Yan.
Other Authors: Lee Kijoon
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/16449
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-164492023-03-03T15:38:27Z Automated surface registration of 3D objects. Tse, Chung Yan. Lee Kijoon School of Chemical and Biomedical Engineering DRNTU::Engineering::Bioengineering Remote Diffuse Optical Tomography (DOT) is an imaging technique that reconstructs the optical properties of biological tissue after illuminating light into them and detecting the scattered light with optical detectors. The aim of this project is to develop a laser scanning system that can be incorporated into remote DOT and obtain 3D camera coordinates of the object scanned. This is done by registering surfaces of 3D objects. This project was proposed to be done through three steps, namely, calibration of CCD camera, scanning of objects with laser and recovery of 3D camera coordinates. Calibration of CCD camera is performed to determine the relationship between 3D world coordinates and 2D image coordinates by finding the intrinsic and extrinsic parameters of the CCD camera. These parameters are useful for analysis of images captured in the later part of the project. In this project, calibration of CCD camera is performed with the help of Camera Calibration Toolbox for Matlab from Caltech [8]. Scanning of objects with laser is performed with laser scanning module suggested by the author and is fully controlled by a laser scanning control software. With the software, laser stripes are scanned on objects and images are captured during each scan with image-acquisition software, PMCapture. Analysis of the images and recovery of 3D camera coordinates are performed with image processing module that is written in Matlab by the author. The method used and results obtained throughout this project are discussed and presented in this report. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2009-05-26T06:15:55Z 2009-05-26T06:15:55Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16449 en Nanyang Technological University 45 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Tse, Chung Yan.
Automated surface registration of 3D objects.
description Remote Diffuse Optical Tomography (DOT) is an imaging technique that reconstructs the optical properties of biological tissue after illuminating light into them and detecting the scattered light with optical detectors. The aim of this project is to develop a laser scanning system that can be incorporated into remote DOT and obtain 3D camera coordinates of the object scanned. This is done by registering surfaces of 3D objects. This project was proposed to be done through three steps, namely, calibration of CCD camera, scanning of objects with laser and recovery of 3D camera coordinates. Calibration of CCD camera is performed to determine the relationship between 3D world coordinates and 2D image coordinates by finding the intrinsic and extrinsic parameters of the CCD camera. These parameters are useful for analysis of images captured in the later part of the project. In this project, calibration of CCD camera is performed with the help of Camera Calibration Toolbox for Matlab from Caltech [8]. Scanning of objects with laser is performed with laser scanning module suggested by the author and is fully controlled by a laser scanning control software. With the software, laser stripes are scanned on objects and images are captured during each scan with image-acquisition software, PMCapture. Analysis of the images and recovery of 3D camera coordinates are performed with image processing module that is written in Matlab by the author. The method used and results obtained throughout this project are discussed and presented in this report.
author2 Lee Kijoon
author_facet Lee Kijoon
Tse, Chung Yan.
format Final Year Project
author Tse, Chung Yan.
author_sort Tse, Chung Yan.
title Automated surface registration of 3D objects.
title_short Automated surface registration of 3D objects.
title_full Automated surface registration of 3D objects.
title_fullStr Automated surface registration of 3D objects.
title_full_unstemmed Automated surface registration of 3D objects.
title_sort automated surface registration of 3d objects.
publishDate 2009
url http://hdl.handle.net/10356/16449
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