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Multiple-view structure and motion from line correspondences

机译:线路对应关系的多视图结构和运动

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We address the problem of camera motion and structure reconstruction from line correspondences across multiple views, from initialization to final bundle adjustment. One of the main difficulties when dealing with line features is their algebraic representation. First, we consider the triangulation problem. Based on Plucker coordinates to represent the lines, we propose a maximum likelihood algorithm, relying on linearising the Plucker constraint, and on a Plucker correction procedure to compute the closest Plucker coordinates to a given 6-vector. Second, we consider the bundle adjustment problem. Previous overparameterizations of 3D lines induce gauge freedoms and/or internal consistency constraints. We propose the orthonormal representation, which allows handy nonlinear optimization of 3D lines using the minimum 4 parameters, within an unconstrained nonlinear optimizer. We compare our algorithms to existing ones on simulated and real data.
机译:我们通过初始化到最终捆绑调整,从多个视图中解决了相机运动和结构重建的问题。处理线特征时的主要困难之一是他们的代数代表。首先,我们考虑三角测量问题。基于PLUCKER坐标来代表线路,我们提出了最大的似然算法,依赖于线性化的PLUCKER约束,以及在PLUCKER校正过程中,以将最近的PLUCKER坐标计算为给定的6向量。其次,我们考虑捆绑调整问题。以前的3D线上的过分统计化诱导仪表自由和/或内部一致性约束。我们提出了正常的代表,它可以在不受约束的非线性优化器内使用最小4个参数使用最小4个参数的3D线路的方便非线性优化。我们将算法与模拟和实际数据进行比较到现有的算法。

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