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。
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.
出处
《吉林大学学报（信息科学版）》
CAS
2013年第1期107-112,共6页
Journal of Jilin University（Information Science Edition）
基金
吉林省教育厅基金资助项目([2013]156)
关键词
计算机视觉
激光技术
三维重构
图像识别
computer vision
laser technique
three-dimensional reconstruction
image recognition
