Floyd-Warshall全对最短路径用于精确的多标记校准

Lejing Wang, M. Springer, Tim Hauke Heibel, Nassir Navab
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引用次数: 7

摘要

我们提出了一种新的方法,通过考虑每个标记的相机姿态估计的预测精度,从多个相机视图中计算一个世界坐标帧中随机定位的正方形标记的姿态。将每个标记点的世界位姿的最佳封闭解的计算问题建模为图论中的全对最短路径问题。通过最小化图像中的几何距离,进一步优化计算出的世界姿态。实验结果表明,与不使用该知识的情况相比,结合每个标记的姿态估计的预测精度可以获得恒定的高质量校准结果,而不依赖于图像序列的顺序。
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Floyd-Warshall all-pair shortest path for accurate multi-marker calibration
We propose a novel method to compute the poses of randomly positioned square markers in one world coordinate frame from multiple camera views, by taking the predicted accuracy of the camera pose estimation for each marker into account. The problem of computing the best closed-form solution of the world pose of each marker is modeled as all-pair shortest path problem in graph theory. The computed world poses are further optimized by minimizing the geometric distances in images. Experimental results show that incorporating the predicted accuracy of the pose estimation for each marker yields constant high quality calibration results independent of the order of image sequences compared to cases when this knowledge is not used.
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