The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-5/W1
https://doi.org/10.5194/isprsarchives-XL-5-W1-81-2013
https://doi.org/10.5194/isprsarchives-XL-5-W1-81-2013
13 Feb 2013
 | 13 Feb 2013

RELIABLE EXTERIOR ORIENTATION BY A ROBUST ANISOTROPIC ORTHOGONAL PROCRUSTES ALGORITHM

A. Fusiello, E. Maset, and F. Crosilla

Keywords: Robust Methods, Anisotropic Orthogonal Procrustes Analysis, Camera Exterior Orientation

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.