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Facial Feature Reconstruction using Structure from Motion
Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005.
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Stellenbosch : University of Stellenbosch
2008
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| _version_ | 1867613894878429184 |
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| access_status_str | Open Access |
| author | Rautenbach, Pieter Albertus |
| author2 | Du Preez, J. A. |
| author_browse | Du Preez, J. A. Rautenbach, Pieter Albertus |
| author_facet | Du Preez, J. A. Rautenbach, Pieter Albertus |
| author_sort | Rautenbach, Pieter Albertus |
| collection | Thesis |
| dc_rights_str_mv | University of Stellenbosch |
| description | Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/2875 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:43:24.214Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2008 |
| publishDateRange | 2008 |
| publishDateSort | 2008 |
| publisher | Stellenbosch : University of Stellenbosch |
| publisherStr | Stellenbosch : University of Stellenbosch |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/2875 Facial Feature Reconstruction using Structure from Motion Rautenbach, Pieter Albertus Du Preez, J. A. Herbst, B. M. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Theses -- Electrical and electronic engineering Dissertations -- Electrical and electronic engineering Three-dimensional display systems Computer vision Computer graphics Electrical and Electronic Engineering Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005. Structure from Motion suggests that an object or scene’s three-dimensional structure can be determined from its observed two-dimensional motion. Human efforts, manifested in computer algorithms, try to mimic the enormous power of the visual processing capabilities of the human brain. We present an algorithm to estimate structure, using the Unscented Kalman Filter, from the motion of point-wise features, produced by the Kanade-Lucas-Tomasi feature tracker. The algorithm is evaluated critically against an extensive set of motion sequences, with special attention paid to facial feature reconstruction. 2008-08-12T09:33:50Z 2010-06-01T09:00:37Z 2008-08-12T09:33:50Z 2010-06-01T09:00:37Z 2005-03 Thesis http://hdl.handle.net/10019.1/2875 en University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Theses -- Electrical and electronic engineering Dissertations -- Electrical and electronic engineering Three-dimensional display systems Computer vision Computer graphics Electrical and Electronic Engineering Rautenbach, Pieter Albertus Facial Feature Reconstruction using Structure from Motion |
| title | Facial Feature Reconstruction using Structure from Motion |
| title_full | Facial Feature Reconstruction using Structure from Motion |
| title_fullStr | Facial Feature Reconstruction using Structure from Motion |
| title_full_unstemmed | Facial Feature Reconstruction using Structure from Motion |
| title_short | Facial Feature Reconstruction using Structure from Motion |
| title_sort | facial feature reconstruction using structure from motion |
| topic | Theses -- Electrical and electronic engineering Dissertations -- Electrical and electronic engineering Three-dimensional display systems Computer vision Computer graphics Electrical and Electronic Engineering |
| url | http://hdl.handle.net/10019.1/2875 |
| work_keys_str_mv | AT rautenbachpieteralbertus facialfeaturereconstructionusingstructurefrommotion |