3D reconstruction and camera calibration from 2D images

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dc.contributor.advisorDe Jager, Gerharden_ZA
dc.contributor.authorHenrichsen, Arneen_ZA
dc.date.accessioned2014-11-19T06:45:14Z
dc.date.available2014-11-19T06:45:14Z
dc.date.issued2000en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractA 3D reconstruction technique from stereo images is presented that needs minimal intervention from the user. The reconstruction problem consists of three steps, each of which is equivalent to the estimation of a specific geometry group. The first step is the estimation of the epipolar geometry that exists between the stereo image pair, a process involving feature matching in both images. The second step estimates the affine geometry, a process of finding a special plane in projective space by means of vanishing points. Camera calibration forms part of the third step in obtaining the metric geometry, from which it is possible to obtain a 3D model of the scene. The advantage of this system is that the stereo images do not need to be calibrated in order to obtain a reconstruction. Results for both the camera calibration and reconstruction are presented to verify that it is possible to obtain a 3D model directly from features in the images.en_ZA
dc.identifier.apacitationHenrichsen, A. (2000). <i>3D reconstruction and camera calibration from 2D images</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/9725en_ZA
dc.identifier.chicagocitationHenrichsen, Arne. <i>"3D reconstruction and camera calibration from 2D images."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2000. http://hdl.handle.net/11427/9725en_ZA
dc.identifier.citationHenrichsen, A. 2000. 3D reconstruction and camera calibration from 2D images. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Henrichsen, Arne AB - A 3D reconstruction technique from stereo images is presented that needs minimal intervention from the user. The reconstruction problem consists of three steps, each of which is equivalent to the estimation of a specific geometry group. The first step is the estimation of the epipolar geometry that exists between the stereo image pair, a process involving feature matching in both images. The second step estimates the affine geometry, a process of finding a special plane in projective space by means of vanishing points. Camera calibration forms part of the third step in obtaining the metric geometry, from which it is possible to obtain a 3D model of the scene. The advantage of this system is that the stereo images do not need to be calibrated in order to obtain a reconstruction. Results for both the camera calibration and reconstruction are presented to verify that it is possible to obtain a 3D model directly from features in the images. DA - 2000 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2000 T1 - 3D reconstruction and camera calibration from 2D images TI - 3D reconstruction and camera calibration from 2D images UR - http://hdl.handle.net/11427/9725 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9725
dc.identifier.vancouvercitationHenrichsen A. 3D reconstruction and camera calibration from 2D images. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2000 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9725en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.title3D reconstruction and camera calibration from 2D imagesen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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