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• W2110116146 abstract "Abstract. The paper presents a robust version of a recent anisotropic orthogonal Procrustes algorithm that has been proposed to solve the socalled camera exterior orientation problem in computer vision and photogrammetry. In order to identify outliers, that are common in visual data, we propose an algorithm based on Least Median of Squares to detect a minimal outliers-free sample, and a Forward Search procedure, used to augment the inliers set one sample at a time. Experiments with synthetic data demonstrate that, when the percentage of outliers is greater than 30% or the data size is small, the proposed method is more accurate in detecting outliers than the customary detection based on median absolute deviation." @default.
• W2110116146 created "2016-06-24" @default.
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• W2110116146 date "2013-02-13" @default.
• W2110116146 modified "2023-10-02" @default.
• W2110116146 title "RELIABLE EXTERIOR ORIENTATION BY A ROBUST ANISOTROPIC ORTHOGONAL PROCRUSTES ALGORITHM" @default.
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• W2110116146 doi "https://doi.org/10.5194/isprsarchives-xl-5-w1-81-2013" @default.
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