| NEW HAUSDORFF DISTANCE-BASED VEHICLE LOCATION |
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| 作者姓名： | 陈莹 韩崇昭 |
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| 作者单位： | [1]SchoolofElectronicsandInformationEngineering,Xi＇anJiaotongUniversity,Xi＇an710049,China [2]SchoolofElectronicsandInformationEngineering,Xi＇anJiaotongUniversity,Xi＇an710049,China |
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| 基金项目： | Theworkwassupportedbythe“973”ProgramofChina(No.2001CB309403). |
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| 摘 要： | Objective To realize accurate localization of moving vehicles from single monocular intensity image.Methods The new modified Hansdorff distance(M2HD) was adopted, which used dominant points instead of edge maps as features for measuring similarity between image and model projection. Modified simulated annealing (MSA) algorithm was used to find optimum localization parameters. Results M2HD reduces the computational complexity,and improves the matching precision. Furthermore, MSA can fast find global optimum instead of getting into partial one because of its high parallel and robust performance. Conclusion Experiments confirm that the combination of MSA and M^2 HD can effectively localize the vehicles that are changed both in translation and rotation
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| 关 键 词： | 豪斯多夫距离 边缘检测 三维匹配 模拟退火 移动定位 |
NEW HAUSDORFF DISTANCE-BASED VEHICLE LOCATION |
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| Chen Ying,Han Chongzhao School of Electronics and Information Engineering,Xi'an Jiaotong Unive rsity,Xi'an ,China..NEW HAUSDORFF DISTANCE-BASED VEHICLE LOCATION[J].Academic Journal of Xi’an Jiaotong University,2004,16(2):122-126. |
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| Authors: | Chen Ying Han Chongzhao School of Electronics and Information Engineering Xi'an Jiaotong Unive rsity Xi'an China |
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| Institution: | School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China. |
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| Abstract: | Objective To realize accurate localization of moving vehicles from single monocular intens ity image. Methods The new modified Hausdorff distance(M2HD) was adopted, which used dominant points instead of edge maps as features for mea suring similarity between image and model projection. Modified simulated anneali ng (MSA) algorithm was used to find optimum localization parameters. Res ults M2HD reduces the computational complexity, and improves the matc hing precision. Furthermore, MSA can fast find global optimum instead of getting into partial one because of its high parallel and robust performance. C onclusion Experiments confirm that the combination of MSA and M 2H D can effectively localize the vehicles that are changed both in translation and rotation |
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| Keywords: | Hausdorff distance edge detection 3D model matc hing simulated annealing |
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