Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Includes bibliographical references (p. [94]-98).
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2014
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613172299464704 |
|---|---|
| access_status_str | Open Access |
| author | Milborrow, Stephen |
| author2 | Nicolls, Fred |
| author_browse | Milborrow, Stephen Nicolls, Fred |
| author_facet | Nicolls, Fred Milborrow, Stephen |
| author_sort | Milborrow, Stephen |
| collection | Thesis |
| description | Includes bibliographical references (p. [94]-98). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5161 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:54.917Z |
| 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:11427/5161 Locating facial features with active shape models Milborrow, Stephen Nicolls, Fred Electrical Engineering Includes bibliographical references (p. [94]-98). This dissertation focuses on the problem of locating features in frontal views of upright human faces. The dissertation starts with the Active Shape Model of Cootes et al. [19] and extends it with the following techniques: 1. Selectively using two-instead of one-dimensional landmark profiles. 2. Stacking two Active Shape Models in series. 3. Extending the set of landmarks. 4. Trimming covariance matrices by setting most entries to zero. 5. Using other modifications such as adding noise to the training set. The resulting feature locater is shown to compare favorably with previously published methods. 2014-07-31T10:54:45Z 2014-07-31T10:54:45Z 2007 Master Thesis Masters MSc http://hdl.handle.net/11427/5161 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Milborrow, Stephen Locating facial features with active shape models |
| thesis_degree_str | Master's |
| title | Locating facial features with active shape models |
| title_full | Locating facial features with active shape models |
| title_fullStr | Locating facial features with active shape models |
| title_full_unstemmed | Locating facial features with active shape models |
| title_short | Locating facial features with active shape models |
| title_sort | locating facial features with active shape models |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/5161 |
| work_keys_str_mv | AT milborrowstephen locatingfacialfeatureswithactiveshapemodels |