基于ORB算法的双目视觉目标定位精度与效率研究

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中图分类号：TP301.6 文献标志码：A 文章编号：2095-2945（2025）26-0015-04

Abstract：Thispaper explores howtoachieveabalance between precisionandefciency inthecontext of using the ORB algorithm for binocular vision targetpositioning.TheORBalgorithm，bymeansofo-FASTcornerdetection and r -BRIEF descriptors，notonlyenhancesrotationinvariancebutalsoimprovescomputationaleficiency.Inthefieldofbinocularvisionapplications，cameracalibrationimagepreprocessng，andthee-dimensionalreconsructionofspatialpointsareextremelyiportant aspects.Amongthemcameracalibrationrequirescordinatesystemtransfomation，imagepreprocessingincludesdistortiocr tionoperations，andthree-dimensionalreconstructionofspatialpointsinvolvesepipolarcorrection.Theimplementationofthese stepsaims toimproveimagequalityandprocessngeficiency.ExperimentsshowthattheORBalgorithmcanefectivelybalance precisionandeficiencyindiferentscenariosandhasbroadapplicationpotential.Inthefuture，furtheroptimizationcanbecarried out to meet the requirements of more complex scenarios.

Keywords：ORBalgorithm;binocularvisiontargetpositioning;balancebetweenprecisionandeficiency；cameracalibration; feature descriptor

在科技迅猛发展的当下，计算机视觉技术在各领域愈发关键。（剩余6329字）