Mesh Generation from Dense 3D Scattered Data Using Neural Network

(整期优先)网络出版时间:2004-01-11
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Animprovedself-organizingfeaturemap(SOFM)neuralnetworkispresentedtogeneraterectangularandhexagonallatticwithnormalvectorattachedtoeachvertex.Aftertheneuralnetworkwastrained,thewholescattereddatawerepidedintosub-regionswhereclassifiedcorewererepresentedbytheweightvectorsofneuronsattheoutputlayerofneuralnetwork.Theweightvectorsoftheneuronswereusedtoapproximatethedense3-Dscatteredpoints,sothedensescatteredpointscouldbereducedtoareasonablescale,whilethetopologicalfeatureofthewholescatteredpointswereremained.