| 基于计算机视觉的储备粮智能稽核方法 |
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| 引用本文： | 宋立明,李秀华,李万龙.基于计算机视觉的储备粮智能稽核方法[J].吉林大学学报(信息科学版),2013,31(1):107-112. |
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| 作者姓名： | 宋立明 李秀华 李万龙 |
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| 作者单位： | 长春工业大学计算机科学与工程学院,长春,130012;长春工业大学计算机科学与工程学院,长春,130012;长春工业大学计算机科学与工程学院,长春,130012 |
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| 基金项目： | 吉林省教育厅基金资助项目([2013]156) |
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| 摘 要： | 针对现有粮食数量检测方法称量法和主动视觉法存在用时多、 设备成本高等缺点, 以及图像识别法存在匹配精度低、 三维重建多面性等不足, 提出一种新的基于激光测距及三维重构技术的散装仓粮食数量识别方法。概述了现有基于图像识别的检测方法的实现过程, 对提出的方法进行了理论分析。最后论述该方法的优越性。
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| 关 键 词： | 计算机视觉 激光技术 三维重构 图像识别 |
| 收稿时间： | 2012-10-24 |
Survey on Reserved Grain Intelligent Audit Methods Based on Computer Vision |
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| SONG Li-ming
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LI Xiu-hua
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LI Wan-long.Survey on Reserved Grain Intelligent Audit Methods Based on Computer Vision[J].Journal of Jilin University:Information Sci Ed,2013,31(1):107-112. |
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| Authors: | SONG Li-ming LI Xiu-hua LI Wan-long |
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| Institution: | School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China |
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| Abstract: | To deal with the defect of present grain quantity measure methods, a new recognition method based on laser and three-dimensional reconstruction of bulk warehouse is presented. The implementation process of present methods based on image recognition is summarized, and the principle of the method is analyzed by us. At last compared both of them, and looked into the future of automatic grain quantity recognition. |
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| Keywords: | computer vision laser technique three-dimensional reconstruction image recognition |
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