Auto-calibration via the absolute quadric and scene constraints

A. Heyden, D. Huynh
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引用次数: 6

Abstract

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.
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通过绝对二次曲线和场景约束进行自动校准
从运动问题出发,提出了一种将场景约束引入结构的方案。具体来说,在正交场景平面的约束下恢复绝对二次曲线。该计划包括若干步骤。首先得到投影重建,然后用线性技术形成绝对二次曲线的初始估计。然后进行非线性迭代,对该二次曲面和摄像机的固有参数进行细化,将投影重建升级为欧几里得重建。最后,采用束平差算法对欧几里得重构进行优化,得到统计上最优的结果。该算法链本质上与自动校准中使用的算法链相同,本文的新颖之处在于在每一步中都包含了正交场景平面约束。所涉及的算法在模拟和实际数据上进行了验证,证明了所提出方案的性能和可用性。
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