简介:Isometric3Dshapepartialmatchinghasattractedagreatamountofinterest,withaplethoraofapplicationsrangingfromshaperecognitiontotexturemapping.Inthispaper,weproposeanovelisometric3DshapepartialmatchingalgorithmusingthegeodesicdiskLaplacespectrum(GD-DNA).Ittransformsthepartialmatchingproblemintothegeodesicdiskmatchingproblem.Firstly,thelargestenclosedgeodesicdiskextractedfromthepartialshapeismatchedwithgeodesicdisksfromthefullshapebytheLaplacespectrumofthegeodesicdisk.Secondly,GeneralizedMulti-DimensionalScalingalgorithm(GMDS)andEuclideanembeddingareconductedtoestablishfinalpointcorrespondencesbetweenthepartialandthefullshapeusingthematchedgeodesicdiskpair.TheproposedGD-DNAisdiscriminativeformatchinggeodesicdisks,anditcanwellsolvetheanchorpointselectionprobleminchallengingpartialshapematchingtasks.ExperimentalresultsontheShapeRetrievalContest2016(SHREC'16)benchmarkvalidatetheproposedmethod,andcomparisonswithisometricpartialmatchingalgorithmsintheliteratureshowthatourmethodhasahigherprecision.
简介:大数据背景下物联网已成为社会与学术界共同关注的研究热点,对物联网领域的研究现状进行梳理与总结有助于该领域的研究发展,并为相关学者后续研究提供参考和借鉴。通过文献计量统计方法,对CNKI收录的国内物联网研究文献进行统计分析,利用可视化软件绘制了科学知识图谱来揭示该领域核心作者团体、研究主题热点、热点演化趋势,从横向与纵向两个视角全景扫描了国内物联网研究的知识结构和知识特征。从横向看,国内物联网研究已广泛开展,形成了多个显著的合作团体并出现了高影响力论文;从纵向看,研究主题包括3个方面,研究演进经历了3个阶段,分析了各主题、阶段的主要研究内容以发现热点及发展趋势,为后续研究提供参考。