This MSc Thesis deals with face detection in image. In this approach, facial features (eyes, nose, mouth corners) are detected first and then joined to the whole face. For the facial features detection, classifiers trained with AdaBoost algorithm are used. Haar wavelets are used as features for classification.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:236684 |
| Date | January 2009 |
| Creators | Šašinka, Ondřej |
| Contributors | Hradiš, Michal, Juránek, Roman |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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