Locating facial features with active shape models

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.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2007

Author dc:creator

• Milborrow, Stephen

Advisor dc:contributor.advisor

• Nicolls, Fred

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/5161

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/5161