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Minimal Structure and Motion Problems for TOA and TDOA Measurements with Collinearity Constraints

机译:与共线约束的TOA和TDOA测量的最小结构和运动问题

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Structure from sound can be phrased as the problem of determining the position of a number of microphones and a number of sound sources given only the recorded sounds. In this paper we study minimal structure from sound problems in both TOA (time of arrival) and TDOA (time difference of arrival) settings with collinear constraints on e.g. the microphone positions. Three such minimal cases are analyzed and solved with efficient and numerically stable techniques. An experimental validation of the solvers are performed on both simulated and real data. In the paper we also show how such solvers can be utilized in a RANSAC framework to perform robust matching of sound features and then used as initial estimates in a robust non-linear least-squares optimization.
机译:声音的结构可以被关键作为确定许多麦克风的位置的问题,并且只给出了录制的声音的许多声源。在本文中,我们研究了从TOA(到达时间)和TDOA(到达时间差)设置的最小结构,例如,在例如COLLINEAR约束中的设置。麦克风位置。通过高效且数值稳定的技术分析并解决了三种这种最小的病例。对求解器的实验验证是对模拟和实际数据进行的。在本文中,我们还展示了这种求解器如何在RANSAC框架中使用,以执行声音特征的强大匹配,然后用作鲁棒的非线性最小二乘优化中的初始估计。

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