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1、分類號(hào)TP31學(xué)號(hào)14063109UDC004.9密級(jí)公開工程碩士學(xué)位論文面向人臉識(shí)別的深度學(xué)習(xí)技術(shù)研究及應(yīng)用碩士生姓名曲直學(xué)科專業(yè)軟件工程研究方向深度學(xué)習(xí)與人臉識(shí)別指導(dǎo)教師竇勇研究員國防科學(xué)技術(shù)大學(xué)研究生院二〇一七年一月ResearchonDeepLearningMethodAndApplicationsforFaceRecognitionTechnologyCandidate:QuZhiAdvisor:ProfessorDouYongAdissertationSubmittedinpartialfulfillmentoftherequirementsforthedegreeofMast
2、erofEngineeringinSoftwareEngineeringGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha,Hunan,P.R.ChinaJanuary3,2017國防科學(xué)技術(shù)大學(xué)研究生院碩士學(xué)位論文目錄摘要........................................................................................................................iABSTRACT.....................
3、..........................................................................................iii第一章緒論............................................................................................................11.1課題研究背景及重要性...........................................................................11.
4、2人臉識(shí)別技術(shù)簡介...................................................................................21.2.1發(fā)展歷程........................................................................................21.2.2人臉識(shí)別技術(shù)的研究內(nèi)容............................................................41.3人臉識(shí)別技術(shù)面臨的挑戰(zhàn)................
5、.......................................................71.4本文主要工作...........................................................................................7第二章大規(guī)模人臉數(shù)據(jù)集及其復(fù)雜樣本構(gòu)建方法............................................102.1人臉數(shù)據(jù)集介紹................................................................
6、.......................102.2人臉數(shù)據(jù)集的構(gòu)建...................................................................................112.3基于光照系數(shù)的樣本構(gòu)建方法...............................................................122.4對(duì)比試驗(yàn).........................................................................................
7、..........142.5本章小結(jié)...................................................................................................17第三章基于深度學(xué)習(xí)框架的人臉識(shí)別學(xué)習(xí)算法................................................183.1面向人臉的特征表達(dá)簡介........
