خط مشی دسترسیدرباره ما
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
Document Type : Latin Dissertation
Language of Document : English
Record Number : 151979
Doc. No : ET23771
Main Entry : TSUEN LEE
Title Proper : RID APPROACHES FOR FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Face Recognition is the ability to recognize human faces with many variationsof facial appearances. Recent approaches to face recognition utilize a combination offeature extraction algorithms and Neural Network classification algoriobjective of our study is to establish a unified frame for ranking alternate combinationsof existing algorit s according to both face recognition success rate and recognitiontime, since this information is not usually reported in the literature. Our recognitionresults show that Principal Component Analysis wit Multi-Layeredcombination. Also, the results imply that for face recognition supervisedtraining is better than unsupervised training. In.............-....,....-...,..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 : TL47030.pdf
Title and statement of responsibility and : RID APPROACHES FOR FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS [Thesis]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)