| 基于低负载运算平台的双目视觉快速匹配算法 |
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| 引用本文： | 吉龙,王向军,吴飞. 基于低负载运算平台的双目视觉快速匹配算法[J]. 传感器与微系统, 2010, 29(1) |
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| 作者姓名： | 吉龙 王向军 吴飞 |
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| 作者单位： | 天津大学精密测试技术及仪器国家重点实验室,天津,300072 |
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| 摘 要： | 针对计算机视觉系统在低负载运算平台下的应用,对双目立体视觉系统中的图像特征提取和多分辨率图像匹配处理算法进行分析与研究。在对已有的图像降晰算法进行实验分析的基础上,提出了适用于低负载运算平台的双目视觉快速匹配算法。研究结果表明:该算法与已有的图像特征点匹配算法相比,算法执行时间缩短了约80%。基本满足低负载运算平台如自主移动机器人、车载摄像机等的要求,降低了运算难度,实现了目标定位实时性,同时兼顾了图像匹配精度和高可靠性。
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| 关 键 词： | 双目视觉 图像降晰 特征点匹配 |
Fast matching algorithm of binocular vision based on low-load calculation platform |
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| JI Long,WANG Xiang-jun,WU Fei. Fast matching algorithm of binocular vision based on low-load calculation platform[J]. Transducer and Microsystem Technology, 2010, 29(1) |
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| Authors: | JI Long WANG Xiang-jun WU Fei |
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| Affiliation: | State Key Laboratory of Precision Measurement Technology and Instrument;Tianjin University;Tianjin 300072;China |
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| Abstract: | Aimed at the application of computer vision system on low-load calculation platform,the image feature extraction and image matching with multi-resolution ratio are analyzed and researched.On the basis of experimental analysis of the existing image dimension reduction algorithms,a fast image matching algorithm for binocular vision based on low-load calculation platform is presented.Research results show that compared with the existing image feature point matching algorithms,this algorithm's execution time wa... |
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| Keywords: | binocular vision reducible picture character points matching |
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