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Multiview Face Detection Using Gabor Filter and Support Vector Machines
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
2008 (English)Independent thesis Basic level (degree of Bachelor)Student thesis
Abstract [en]

Face detection is a preprocessing step for face recognition algorithms. It is the localization of face/faces in an image or image sequence. Once the face(s) are localized, other computer vision algorithms such as face recognition, image compression, camera auto focusing etc are

applied. Because of the multiple usage areas, there are many research efforts in face processing. Face detection is a challenging computer vision problem because of lighting conditions, a high degree of variability in size, shape, background, color, etc. To build fully

automated systems, robust and efficient face detection algorithms are required.

Numerous techniques have been developed to detect faces in a single image; in this project we have used a classification-based face detection method using Gabor filter features. We have designed five frequencies corresponding to eight orientations channels for extracting facial features from local images. The feature vector based on Gabor filter is used as the input of the face/non-face classifier, which is a Support Vector Machine (SVM) on a reduced feature

subspace extracted by using principal component analysis (PCA).

Experimental results show promising performance especially on single face images where 78% accuracy is achieved with 0 false acceptances.

Place, publisher, year, edition, pages
Högskolan i Halmstad/Sektionen för Informationsvetenskap, Data- och Elektroteknik (IDE) , 2008.
Keyword [en]
Face detection, support Vector Machines, Gabor Filter
Identifiers
URN: urn:nbn:se:hh:diva-2152Local ID: 2082/2547OAI: oai:DiVA.org:hh-2152DiVA: diva2:239370
Uppsok
Technology
Available from: 2008-11-24 Created: 2008-11-24 Last updated: 2008-11-24

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf