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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150228
Doc. No : ET22020
Main Entry : Guodong Guo
Title Proper : FACE, EXPRESSION, AND IRIS RECOGNITION USING LEARNING-BASED APPROACHES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This thesis investigates the problem of facial image analysis. Human faces contain a lot of infor-mation that is useful for many applications. For instance, the face and iris are important biometricfeatures for security applications. Facial activity analysis such as face expression recognition ishelpful for perceptual user interfaces. Developing new methods to improve recognition perfor-mance is a major concern in this thesis.In approaching the recognition problem of facial image analysis, the key idea is to use learning-based methods whenever possible. For face recognition, we propose a face cyclograph represen-tation to encode continuous views of faces, motivated by psychophysical studies on human objectrecognition. For face expression recognition, we apply a machine learning technique to solve thefeature selection and classifier training problems simultaneously, even...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL45216.pdf
Title and statement of responsibility and : FACE, EXPRESSION, AND IRIS RECOGNITION USING LEARNING-BASED APPROACHES [Thesis]
 
 
 
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