【摘要】 为了更好地分析潜土逆转旋耕刀的抛土性能,用两台高速摄像机组成双目立体视觉系统对潜土逆转旋耕机的抛土过程进行同步记录,然后跟踪图像序列中同一土粒的运动轨迹。提出了用BP神经网络建立双目立体视觉模型的方法,利用此模型进行标定,找出物体的图像坐标与世界坐标之间的映射关系,解决了土粒三维运动轨迹的提取问题。更多还原

【Abstract】 In order to analyze the performance of submerged reverse-rotary blade, processing of the motion of clods of submerged reverse-rotary tiller was recorded by the binocular vision system consisted of two high speed imaging systems; function relation between the image coordinates and the world coordinates of the object with BP neural network were found, then 3-D moving trace was restored by using the trained network.更多还原