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Motion and shape recovery based on iterative stabilization for modest deviation from planar motion

机译:基于迭代稳定度的运动和形状恢复,可适度偏离平面运动

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We describe an iterative stabilization method that can simultaneously recover camera motion and 3D shape from an image sequence captured under modest deviation from planar motion. This technique iteratively applies a factorization method based on planar motion and can approximate the observed image points to the 2D points projected under planar motion by stabilizing the camera motion. We apply the proposed method to aerial images acquired by a helicopter-borne camera and show better reconstruction of both motion and shape than Christy-Horaud's perspective factorization. Moreover, we confirm that the reprojection errors calculated from the recovered camera motion and 3D shape are very similar to the optimum results yielded by bundle adjustment.
机译:我们描述了一种迭代稳定化方法,该方法可以同时从平面运动的适度偏差下捕获的图像序列中恢复相机运动和3D形状。该技术迭代地应用基于平面运动的分解方法,并且可以通过稳定相机运动来将观察到的图像点近似为在平面运动下投影的2D点。我们将提出的方法应用于直升机摄像机获取的航拍图像,并显示出比克里斯蒂·霍罗德的透视分解更好的运动和形状。此外,我们确认从恢复的摄像机运动和3D形状计算出的重投影误差与通过束调整产生的最佳结果非常相似。

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