Wavelet-based Recognition of Facial Expressions and Faces

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dc.contributor.advisorYanushkevich, Svetlana
dc.contributor.advisorGavrilova, Marina
dc.contributor.authorPoursaberi, Ahmad
dc.date.accessioned2014-09-29T16:07:24Z
dc.date.available2014-11-17T08:00:49Z
dc.date.issued2014-09-29
dc.date.submitted2014en
dc.description.abstractThe proposed research contributes to the development of biometric systems and its applications. The facial biometric, as a part of the underlying technology, is a focus of this thesis. Specifically, it is aimed at developing the new concepts of biometrics systems, such as systems with situational awareness, interviewing, and human-machine interaction support system that analyze human behavioral biometrics. The systems make use of facial expression data, besides the traditional visual-spectrum data for face recognition. A new technique for facial expression recognition (FER), in particular, is targeted in this thesis as one of the important components in human behavior analysis. Combined with face recognition (FR), it is a basis for a multi-biometric decision support tool. Most of the available approaches for the recognition of faces and expressions only consider either the expression-invariant face recognition or the facial expression recognition regardless of identity. This research proposes a facial biometric analysis using a new facial feature detection based on a modified Frangi filter. The joint FR/FER uses new feature extraction technique called Gauss-Laguerre wavelets, which provides rich and unique features suitable for expressions classification and identity recognition. In addition, this study considers facial biometric in infrared spectrum, which provides additional information (such as face region temperature) which is required, in particular, at a border check point. Moreover, recognition of expressions from video is investigated to show the extendibility of the proposed technique for video processing as well.en_US
dc.identifier.citationPoursaberi, A. (2014). Wavelet-based Recognition of Facial Expressions and Faces (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/28676en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/28676
dc.identifier.urihttp://hdl.handle.net/11023/1823
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEngineering--Electronics and Electrical
dc.subject.classificationBiometricsen_US
dc.subject.classificationFacial expression recognitionen_US
dc.subject.classificationGauss-Laguerre waveletsen_US
dc.subject.classificationFrangi filteren_US
dc.subject.classificationFace recognitionen_US
dc.subject.classificationInfrared biometricsen_US
dc.titleWavelet-based Recognition of Facial Expressions and Faces
dc.typedoctoral thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
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