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基于视频的人脸识别研究进展(16)

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YANYah,bomin1984,Ph.D..

Hismainresearchinterestsfocus

on

pat

tern

recognitiomBackground

ThisworkissupportedbytheNationalNaturalScience

FoundationofChinaundergrantNo.60872084andtheSpe—cializedResearchFundfortheDoctoralProgramof

Higher

Educationunder

grant

No.20060003102.Traditionalstillimage-basedfacerecognitionhasachieved

great

SUCCP嬉S

in

constrainedenvironments.However,once

the

conditions,including

illumination,pose,expression,

age,etc.,change

tOO

much,theperformancedeclinesdra—matically.The

recent

FRVT2002showsthattherecognition

performanceoffaceimagescapturedin

an

outdoorenviron—mentanddifferentdays

is

still

not

satisfying.Currentstill

image—based

face

recognitionalgorithms

are

even

faraway

fromthecapabilityofhumanperceptionsystem.Ontheoth—

er

hand,psychologyandphysiologystudieshaveshownthat

motion

can

helppeopleforbetterfacerecognition.万 

方数据BiometricPerson

Authentication.WashingtonD.C,1999

176—180

[59]ZhangZ

Y,Liu

zC,Adler

D,Cohen

MF,HansonE,Shan

Y.Robustandrapidgenerationofanimatedfacesfromvideo

imageslAmodel—based

modeling

approach.International

JournalofComputerVision,2004,58(2)I93—119

[60]ZhouX,BhanuB.Integratingfaceand

gait

forhuman

recog—

nition

ata

distanceinvideo.IEEETransactions

on

Systems,

Manand

Cybernetics,PartB,2007,37(5):1119—1137

[61]JingXY,YaoY

F,ZhangD,YangJY,LiM.Faceand

palmprintpixellevelfusionandkernel

DCV-RBF

classifier

forsmallsamplebiometricrecognition.PatternRecognition,

2007.40(11):3209—3324

[62]

YanY,ZharlgYJ.Multimodalbiometricsfusionusingcot-

relationfilterbank//Proceedingsofthe19thIAPRInterna一

Conference

on

PatternRecognition.Tampa,2008,

MoBT7.3(卜4)

ZHANGYu-Jin,bornin

1954,Ph.D。,professor。

Ph.D.supervisor.Hismainresearchinterestsincludeimage

engineering(imageprocessing,image

analysis,imageunder-

standingandtechnique

application).http://www.ee.tsing-

hua.edu.cn/~zhangyujin/

During

the

past

several

years,many

researchefforts

have

been

concentratedon

video-based

face

recognition.

Comparedwithstillimage—basedfacerecognition,truevideo-

basedfacerecognitionalgorithmsthat

use

bothspatialand

temporalinformationstartedonlya

few

years

ago.Nocom—

prehensive

survey

inthisfieldhasbeen

made,and

lotofis—sues

invideo-basedface

recognitionstillhave

not

beenad—dressedwell.Sothe

content

ofthispapergives

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