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Relative planar motion for vehicle-mounted cameras from a single affine correspondence

机译:单个仿射对应的车载摄像机的相对平面运动

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Two solvers are proposed for estimating the extrinsic camera parameters from a single affine correspondence assuming general planar motion. In this case, the camera movement is constrained to a plane and the image plane is orthogonal to the ground. The algorithms do not assume other constraints, e.g. the non-holonomic one, to hold. A new minimal solver is proposed for the semi-calibrated case, i.e. the camera parameters are known except a common focal length. Another method is proposed for the fully calibrated case. Due to requiring a single correspondence, robust estimation, e.g. histogram voting, leads to a fast and accurate procedure. The proposed methods are tested in our synthetic environment and on publicly available real datasets consisting of videos through tens of kilometers. They are superior to the state-of-the-art both in terms of accuracy and processing time.
机译:提出了两个求解器,用于估计来自单个仿射对应的外部相机参数,假设普通平面运动。在这种情况下,相机移动被约束到平面,并且图像平面与地面正交。算法不承担其他约束,例如,不合理的,持有。提出了一种新的最小求解器,用于半校准的情况,即相机参数是已知的,除了共同的焦距。为完全校准的情况提出了另一种方法。由于要求单一对应,鲁棒估计,例如,直方图投票,导致快速准确的程序。所提出的方法在我们的合成环境中测试,以及通过数十公里的视频组成的可公开数据集。它们在准确性和处理时间方面优于最先进的。

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