| 针对重复纹理场景的跟踪定位算法 |
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| 引用本文： | 刘伟,王涌天,陈靖.针对重复纹理场景的跟踪定位算法[J].北京理工大学学报,2012,32(2):189-193. |
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| 作者姓名： | 刘伟 王涌天 陈靖 |
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| 作者单位： | 北京理工大学光电学院,北京,100081;北京理工大学光电学院,北京,100081;北京理工大学光电学院,北京,100081 |
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| 基金项目： | 国家自然科学基金资助项目(60309070);国家"八六三"计划项目(2009AA01Z309);光电成像技术与系统教育部重点实验室(北京理工大学)开放基金项目(2010OEIOF03);教育部长江学者和创新团队发展计划项目(IRT0606) |
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| 摘 要： | 提出一种针对复杂标识的分类学习算法,并将其应用于移动增强现实系统中,实现了基于自然特征的跟踪定位系统.在场景特征点识别分类基础上,采用关键帧匹配算法实现无标识跟踪定位.针对含有对称结构的场景提出一种误匹配特征的回收机制.实验结果表明,该算法可解决由于场景对称结构导致的错误特征匹配,从而大幅提高特征的正确匹配率.
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| 关 键 词： | 特征识别 增强现实 跟踪注册 重复纹理 |
| 收稿时间： | 5/5/2011 12:00:00 AM |
A Novel Registration Algorithm for Repetitive Texture |
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| LIU Wei,WANG Yong-tian and CHEN Jing.A Novel Registration Algorithm for Repetitive Texture[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012,32(2):189-193. |
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| Authors: | LIU Wei WANG Yong-tian and CHEN Jing |
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| Institution: | School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China;School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China;School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | This paper presents a supervised machine learning method to detect and track complex man-made logos in real-time. The key-frame based registration method is applied to estimating the camera pose and the randomized tree method is used to matching key-points which are extracted from the input image and from key-frames. In order to overcome the problem of false feature matching caused by the repetitive texture in the real environment, a false feature matching recovery mechanism is also proposed to effectively improve the feature matching performance. The presented algorithm has been applied to the mobile augmented reality system. |
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| Keywords: | feature recognition augmented reality registration repetitive texture |
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