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Vehicle-type motion estimation from multi-frame images

机译:从多帧图像估计车辆类型的运动

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摘要

A model for vehicle-type motion, which assumes that the motion is a rotation around an axis through the vehicle center followed by a forward translation along the main axis of the vehicle, is proposed. When the rotation and the amplitude of translation are constant, this type of motion is shown to be equivalent to a constant camera-centered motion. This indicates that a constant motion in the conventional camera-centered model, which is commonly considered to be artificial, can in fact be a reasonable model in real life. It is shown that a constant vehicle-type motion can be interpreted as a constant screw motion. A linear algorithm for estimating constant vehicle-type motion is presented, and experiments using real scene images are included. As an extension, vehicle-type motion with constant rotation and constantly accelerated translation is discussed.
机译:提出了一种用于车辆类型的运动的模型,该模型假设该运动是绕通过车辆中心的轴线的旋转,然后沿着车辆主轴线的向前平移。当旋转和平移幅度恒定时,这种类型的运动将显示为以摄影机为中心的恒定运动。这表明,通常被认为是人造的常规以相机为中心的模型中的恒定运动实际上可以是现实生活中的合理模型。可以看出,恒定的车辆运动可以解释为恒定的螺杆运动。提出了一种用于估计车辆恒定运动的线性算法,并包括了使用真实场景图像的实验。作为扩展,讨论了具有恒定旋转和恒定加速平移的车辆类型的运动。

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