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- W2186302189 abstract "Robotcurvetracking isneededinsomeindustrial applications, suchasautomatic welding orincising. Sucharobot systemisusually equipped withvisual sensors, whichalways require calibration before used. Thecalibration process isoften complicated. Inthis paperaneural network isusedtolearn the relationship between theworldcoordinate information andthe imageinformation, instead ofcomputing accurate camera parameters. Theneural network isfirst trained basedonsample databyusing the2Dand3Dcoordinates ofsomecontrol points on a standard pattern. Duringthetracking stage, images captured bycamerasarefirstly changed intobinary images. The curveisthenthinned anditsposition ontheimageisrecorded. From theimagedata,thecurve's position intheworld coordinate framecanbespecified byusing thetrained neural network. Thecurvetracked canbearbitrary, openorclosed. The experimental results illuminate thatthe neuralnetwork technique issatisfying anditissuccessfully usedinthevision- basedrobot curvetracking. IndexTerms-Robotvision, neural network, curve tracking." @default.
- W2186302189 created "2016-06-24" @default.
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- W2186302189 date "2006-01-01" @default.
- W2186302189 modified "2023-09-27" @default.
- W2186302189 title "Using Neural Network Technique inVision-based RobotCurveTracking" @default.
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