| 一种基于贝叶斯理论的目标验证方法 |
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| 引用本文： | 金泰松,魏本杰,李翠华,刘明业.一种基于贝叶斯理论的目标验证方法[J].北京理工大学学报,2006,26(11):978-982. |
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| 作者姓名： | 金泰松 魏本杰 李翠华 刘明业 |
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| 作者单位： | 北京理工大学,计算机科学技术学院,北京,100081;北京理工大学,计算机科学技术学院,北京,100081;北京电子科技学院,计算机系,北京,100070;厦门大学,信息科学与技术学院,福建,厦门,361005 |
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| 基金项目： | 国家自然科学基金
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国家创新研究群体科学基金
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面向21世纪教育振兴行动计划(985计划) |
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| 摘 要： | 提出了一种验证图像中候选目标的新方案.综合目标的先验知识,将目标验证转化为给定候选目标的条件下,图像特征观察集合的条件概率问题.同时,提取图像的短线段特征,利用短线段特征的观察,给出了一种目标验证方法排除复杂场景图像中虚假建筑物目标.在自然图像集上进行的实验表明,所提出的方法能有效排除虚假目标,满足处理自然图像的要求.
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| 关 键 词： | 贝叶斯理论 目标验证 短线段 |
| 文章编号： | 1001-0645(2006)11-0978-05 |
| 收稿时间： | 2006/4/13 0:00:00 |
| 修稿时间： | 2006年4月13日 |
A New Approach to Object Verification Based on Bayesian Theory |
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| JIN Tai-song,WEI Ben-jie,LI Cui-hua and LIU Ming-ye.A New Approach to Object Verification Based on Bayesian Theory[J].Journal of Beijing Institute of Technology(Natural Science Edition),2006,26(11):978-982. |
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| Authors: | JIN Tai-song WEI Ben-jie LI Cui-hua and LIU Ming-ye |
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| Institution: | School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China;School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China; Department School of Computer Science,Beijing Electronic Science and Technology Institute,Beijing 100070,China;School of Information Science and Technology,Xiamen University,Xiamen,Fujian 361005,China;School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China |
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| Abstract: | A novel framework of object verification is proposed.Integrating by the prior knowledge of object,object verification is turned into a conditional probability of a set of observable cues available conditioned upon an object hypothesis.Then features of short line segments are extracted,and a new algorithm which verifies objects of building in complex scenes is presented using observation of line segments,.Tests on natural image sets showed that the proposed algorithm could effectively eliminate false objects,and satisfy the request of processing natural images on time performance. |
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| Keywords: | Bayesian theory object verification short line segment |
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