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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150618
Doc. No : ET22410
Main Entry : Xiaominv Liu
Title Proper : Pose Robust Video-based Face Reco~nition
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Researchers have been working on human face recognition for decades. Face recognition is harddue to different types of variations in face images, such as pose, illumination and expression,among which pose variation is the hardest one to deal with. To improve face recognition, thisthesis presents an integrated approach to performing pose robust video-based face tracking andrecognition by using a face mosaic model. We approximate a human head with a 30 ellipsoidmodel, where each face image is a projection of the 3D ellipsoid at a certain pose. In ourapproach, both training and test images are projected back to the surface of the 3D ellipsoid,according to their estimated poses, to form the texture maps. Thus the recognition can be....-...,..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 : TL45626.pdf
Title and statement of responsibility and : Pose Robust Video-based Face Reco~nition [Thesis]
 
 
 
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