简介：Gravity-aidedinertialnavigationisahotissueintheapplicationsofunderwaterautonomousvehicle(UAV).Sincethematchingprocessisconductedwithagravityanomalydatabasetabulatedintheformofadigitalmodelandtheresolutionis2×2,afiltermodelbasedonvehiclepositionisderivedandtheparticularityofinertialnavigationsystem(INS)outputisemployedtoestimateaparameterinthesystemmodel.Meanwhile,thematchingalgorithmbasedonpointmassfilter(PMF)isappliedandseveraloptimalselectionstrategiesarediscussed.Itisobtainedthatthepointmassfilteralgorithmbasedonthedeterministicresamplingmethodhasbetterpracticability.Thereliabilityandtheaccuracyofthealgorithmareverifiedviasimulationtests.
简介：Isometric3Dshapepartialmatchinghasattractedagreatamountofinterest,withaplethoraofapplicationsrangingfromshaperecognitiontotexturemapping.Inthispaper,weproposeanovelisometric3DshapepartialmatchingalgorithmusingthegeodesicdiskLaplacespectrum（GD-DNA）.Ittransformsthepartialmatchingproblemintothegeodesicdiskmatchingproblem.Firstly,thelargestenclosedgeodesicdiskextractedfromthepartialshapeismatchedwithgeodesicdisksfromthefullshapebytheLaplacespectrumofthegeodesicdisk.Secondly,GeneralizedMulti-DimensionalScalingalgorithm（GMDS）andEuclideanembeddingareconductedtoestablishfinalpointcorrespondencesbetweenthepartialandthefullshapeusingthematchedgeodesicdiskpair.TheproposedGD-DNAisdiscriminativeformatchinggeodesicdisks,anditcanwellsolvetheanchorpointselectionprobleminchallengingpartialshapematchingtasks.ExperimentalresultsontheShapeRetrievalContest2016（SHREC＇16）benchmarkvalidatetheproposedmethod,andcomparisonswithisometricpartialmatchingalgorithmsintheliteratureshowthatourmethodhasahigherprecision.
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