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Auto-calibration via the absolute quadric and scene constraints

机译:通过绝对二次曲面和场景约束自动校准

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A scheme is described for incorporation of scene constraints into the structure from motion problem. Specifically, the absolute quadric is recovered with constraints imposed by orthogonal scene planes. The scheme involves a number of steps. A projective reconstruction is first obtained, followed by a linear technique to form an initial estimate of the absolute quadric. A nonlinear iteration then refines this quadric and the camera intrinsic parameters to upgrade the projective reconstruction to Euclidean. Finally, a bundle adjustment algorithm optimizes the Euclidean reconstruction to give a statistically optimal result. This chain of algorithms is essentially the same as used in auto-calibration and the novelty of this paper is the inclusion of orthogonal scene plane constraints in each step. The algorithms involved are demonstrated on both simulated and real data showing the performance and usability of the proposed scheme.
机译:描述了一种方案,该方案用于将场景约束合并到来自运动问题的结构中。具体而言,在正交场景平面施加的约束下恢复绝对二次曲面。该方案涉及多个步骤。首先获得投影重建,然后是线性技术以形成绝对二次曲面的初始估计。然后,非线性迭代优化了该二次曲面和摄影机的固有参数,以将投影重建升级为欧几里得。最后,捆绑调整算法可优化欧几里得重建,以提供统计上最优的结果。该算法链本质上与自动校准中使用的算法相同,并且本文的新颖之处在于在每个步骤中都包含正交场景平面约束。在模拟和实际数据上都演示了所涉及的算法,这些算法显示了所提出方案的性能和可用性。

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