基于深度圖像的人體關(guān)節(jié)點(diǎn)定位的方法研究.pdf

1、聲明本學(xué)位論文是我在導(dǎo)師的指導(dǎo)下取得的研究成果，盡我所知，在本學(xué)位論文中，除了加以標(biāo)注和致謝的部分外，不包含其他人已經(jīng)發(fā)表或公布過的研究成果，也不包含我為獲得任何教育機(jī)構(gòu)的學(xué)位或?qū)W歷而使用過的材料。與我一同工作的同事對本學(xué)位論文做出的貢獻(xiàn)均已在論文中作了明確的說明。研究生簽名：呂弗掃I牛年弓月萬日學(xué)位論文使用授權(quán)聲明南京理工大學(xué)有權(quán)保存本學(xué)位論文的電子和紙質(zhì)文檔，可以借閱或上網(wǎng)公布本學(xué)位論文的部分或全部內(nèi)容，可以向有關(guān)部門或機(jī)構(gòu)送交并授

2、權(quán)其保存、借閱或上網(wǎng)公布本學(xué)位論文的部分或全部內(nèi)容。對于保密論文，按保密的有關(guān)規(guī)定和程序處理。研究生簽名：邑事厶Ⅳ年弓月巧日碩士學(xué)位論文竺竺!——————————————————————————一AbstractH啪a11P。seRec。gniti。nisahotsp。t。fcurrentc。mputerVisi。nstudyWitllmegrowmofcomputerso胍Ireandhardwarefields，humanPoser

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8、oundimagesThefollowingchapterdiscussesusingrandomforestQlasslfiertoconductcategorizationforeachpixelinhlmanbodyarea，andafterwardsSOrtmemintodlfierentbodycomponentsInp砒icul甄themethodofextractingcharacteristicsisbythehelpo

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10、hedensestpixelpointinprobabilitytostandforthepositionofjoin‘a(chǎn)mongthesame’typebodycomponentpixelsOnthisbasis，thispaperusesprioriknowledgeaboutmotlonconstraIntstooptimizetheproposalsofjoints’positionsThenextchapterreponsan

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