The technique, which doesn’t need to have an explicit model - calibration based on neural networks implicit vision model, is more effective.
因此在三维测量应用中不依赖于确定的数学模型的技术——基于神经网络隐式视觉模型的标定技术将更有效。
参考来源 - 摄像机标定方法及边缘检测和轮廓跟踪算法研究·2,447,543篇论文数据,部分数据来源于NoteExpress
An algorithm of Traffic Sign Segment Based on RGB Vision Model is introduced.
提出了一种基于RGB视觉模型的交通标志分割算法。
Secondly, a novel approach is proposed based on a mechanism of human vision model.
基于人眼视觉机理启发,提出了一种新的多尺度滤波模板构造方法。
In the course of measuring the traffic parameters, a vision model between the road coordinate and image coordinate is needed.
在交通参数信息采集过程中,需要在实际道路坐标系和图像坐标系之间建立一个视觉模型。
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