Locating facial features with active shape models

Master Thesis

2007

Permanent link to this Item
http://hdl.handle.net/11427/5161
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thesis_ebe_2007_milborrow_s.pdf (4.77 MB)
Authors
Milborrow, Stephen
Supervisors
Nicolls, Fred
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University of Cape Town

Department
Department of Electrical Engineering
Faculty
Faculty of Engineering and the Built Environment
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Abstract
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.
Description

Includes bibliographical references (p. [94]-98).

Keywords
Electrical Engineering

Reference:

Milborrow, S. 2007. Locating facial features with active shape models. University of Cape Town.

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Masters