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Use of temporal redundancy of motion vectors for the increase of optical flow calculation speed as a contribution to real-time robot vision

机译:使用运动向量的时间冗余,以增加光学流量计算速度作为实时机器人视觉的贡献

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Robotic vision is an important aspect in robotic application and, especially, the measurement of real-time optical flow is a fundamental problem in the processing of image sequences and in robotic vision. We developed a new second order search method to improve the accuracy of optical flow and to still retain the advantage of the linear-time optical flow method by using temporal redundancy of the motion vectors of image sequences. The new method is a trade-off between accuracy and computational complexity of optical flow. This method will play an important role in real-time optical flow estimation using a personal computer for robotic vision.
机译:机器人视觉是机器人应用中的一个重要方面,特别是,实时光流量的测量是图像序列和机器人视觉的处理中的基本问题。我们开发了一种新的二阶搜索方法来提高光流的准确性,并且通过使用图像序列的运动矢量的时间冗余来保持线性时间光学流法的优点。新方法是光流量的准确性和计算复杂性之间的权衡。这种方法将在使用个人计算机用于机器人视觉的实时光流程估计中发挥重要作用。

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