Large Margin Coupled Mapping for Low Resolution Face Recognition

Large Margin Coupled Mapping for Low Resolution Face Recognition

ID:40370921

大?。?50.93 KB

頁數(shù):12頁

時間:2019-08-01

Large Margin Coupled Mapping for Low Resolution Face Recognition_第1頁
Large Margin Coupled Mapping for Low Resolution Face Recognition_第2頁
Large Margin Coupled Mapping for Low Resolution Face Recognition_第3頁
Large Margin Coupled Mapping for Low Resolution Face Recognition_第4頁
Large Margin Coupled Mapping for Low Resolution Face Recognition_第5頁
資源描述:

《Large Margin Coupled Mapping for Low Resolution Face Recognition》由會員上傳分享,免費在線閱讀,更多相關內(nèi)容在學術論文-天天文庫。

1、LargeMarginCoupledMappingforLowResolutionFaceRecognition1(&)1,3,412JiaqiZhang,ZhenhuaGuo,XiuLi,andYoubinChen1GraduateSchoolatShenzhen,TsinghuaUniversity,Shenzhen,Chinazhang-jq13@mails.tsinghua.edu.cn2HuazhongUniversityofScienceandTechnology,Wuhan,China3KeyLaboratoryofMeasurementandControlofCo

2、mplexSystemsofEngineering,MinistryofEducation,SoutheastUniversity,Nanjing,China4KeyLaboratoryofIntelligentPerceptionandSystemsforHigh-DimensionalInformation,MinistryofEducation,NanjingUniversityofScienceandTechnology,Nanjing,ChinaAbstract.Traditionalfacerecognitionalgorithmscanachievesigni?ca

3、ntperformanceunderwell-controlledenvironments.However,thesealgorithmsperformpoorlywhentheresolutionofthefaceimagesvaries.Atwo-stepframeworkisproposedtosolvetheresolutionproblemthroughadoptingsuper-resolution(SR)andperformingfacerecognitiononthesuper-resolvedfaceimages.However,suchmethodusuall

4、yhaspoorperformanceonrecog-nitiontasksasSRfocusesmoreonvisualenhancement,ratherthanclassi?cationaccuracy.Recently,CoupledMapping(CM)hasbeenintroducedintofacerecognitionframeworkacrossdifferentresolutions,whichlearnsacommonfeaturesubspaceforbothhigh-resolution(HR)andlow-resolution(LR)faceimage

5、s.Inthispaper,inspiredbymaximummarginprojection,weproposeLargeMarginCoupledMapping(LMCM)algorithm,whichlearnsprojectionstomaximizethemarginbetweendistanceofbetween-classsubjectsanddistanceofwithin-classonesinthecommonspace.ExperimentsonpublicFERETandSCfacedatabasesdemonstratethatLMCMiseffecti

6、veforlow-resolutionfacerecognition.Keywords:CoupledMappingLow-resolutionfacerecognitionLargeMarginCoupledMappingFERETSCface1IntroductionAgreatnumberofachievementshavebeenmadeintheareaofautomaticfacerecog-nitionduringlastdecades,especiallyunderwell-controlledcircumstances.However,theperfor

7、manceoffacerecognitionsysteminrealworldalwaysdegradesdramaticallywhenthequalityofinputfaceimagesbecomespoor,suchaslow-resolution.Thisisaspeci?cconcerninsurveillanceenvironmentwherethetargetisfarfromthesensor,resultinginlow-resolutionfaceimage

當前文檔最多預覽五頁,下載文檔查看全文

此文檔下載收益歸作者所有

當前文檔最多預覽五頁,下載文檔查看全文
溫馨提示:
1. 部分包含數(shù)學公式或PPT動畫的文件,查看預覽時可能會顯示錯亂或異常,文件下載后無此問題,請放心下載。
2. 本文檔由用戶上傳,版權歸屬用戶,天天文庫負責整理代發(fā)布。如果您對本文檔版權有爭議請及時聯(lián)系客服。
3. 下載前請仔細閱讀文檔內(nèi)容,確認文檔內(nèi)容符合您的需求后進行下載,若出現(xiàn)內(nèi)容與標題不符可向本站投訴處理。
4. 下載文檔時可能由于網(wǎng)絡波動等原因無法下載或下載錯誤,付費完成后未能成功下載的用戶請聯(lián)系客服處理。