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Document Type : Latin Dissertation
Language of Document : English
Record Number : 152129
Doc. No : ET23921
Main Entry : LI Zhifeng
Title Proper : Audio-guided Video Based Face Recognition
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Face recognition is one of the most challenging computer vision research topicssince faces appear differently even for the same person due to expression, pose,lighting, occlusion and many other confounding factors in real life. During thepast thirty years, a number of face recognition techniques have been proposed.However, all of these.
Subject : Electericl tess
: برق
electronic file name : TL48067.pdf
Title and statement of responsibility and : Audio-guided Video Based Face Recognition [Thesis]
 
 
 
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