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Review on grain quantity recognition methods based on computer vision

机译:基于计算机视觉的谷物数量识别方法综述

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摘要

In grain reserve automatic supervision and audit, the inevitable trend is automatic recognition of grain quantity based on computer vision. To the drawbacks of present grain quantity measurement methods, this paper brought forward a new recognition method based on laser and three-dimensional reconstruction for bulk warehouse. It summarized the implementation process of present methods based on image recognition, and analyzed the principle of the method raised by this paper. At last it compared them, and looked into the future of automatic grain quantity recognition.
机译:在粮食储备自动监督检查中,必然趋势是基于计算机视觉的粮食数量自动识别。针对目前粮食计量方法的弊端,提出了一种基于激光和三维重构的散装仓库识别方法。总结了目前基于图像识别的方法的实现过程,并分析了本文提出的方法的原理。最后对它们进行了比较,并展望了谷物自动识别的未来。

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