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3D reconstruction and camera calibration from 2D images
Includes bibliographical references.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2014
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| _version_ | 1867613237335293952 |
|---|---|
| access_status_str | Open Access |
| author | Henrichsen, Arne |
| author2 | De Jager, Gerhard |
| author_browse | De Jager, Gerhard Henrichsen, Arne |
| author_facet | De Jager, Gerhard Henrichsen, Arne |
| author_sort | Henrichsen, Arne |
| collection | Thesis |
| description | Includes bibliographical references. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/9725 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:57.328Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/9725 3D reconstruction and camera calibration from 2D images Henrichsen, Arne De Jager, Gerhard Electrical Engineering Includes bibliographical references. 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. 2014-11-19T06:45:14Z 2014-11-19T06:45:14Z 2000 Master Thesis Masters MSc http://hdl.handle.net/11427/9725 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Henrichsen, Arne 3D reconstruction and camera calibration from 2D images |
| thesis_degree_str | Master's |
| title | 3D reconstruction and camera calibration from 2D images |
| title_full | 3D reconstruction and camera calibration from 2D images |
| title_fullStr | 3D reconstruction and camera calibration from 2D images |
| title_full_unstemmed | 3D reconstruction and camera calibration from 2D images |
| title_short | 3D reconstruction and camera calibration from 2D images |
| title_sort | 3d reconstruction and camera calibration from 2d images |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/9725 |
| work_keys_str_mv | AT henrichsenarne 3dreconstructionandcameracalibrationfrom2dimages |