Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W1, 81-86, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W1/81/2013/
doi:10.5194/isprsarchives-XL-5-W1-81-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
13 Feb 2013
RELIABLE EXTERIOR ORIENTATION BY A ROBUST ANISOTROPIC ORTHOGONAL PROCRUSTES ALGORITHM
A. Fusiello1, E. Maset2, and F. Crosilla2 1Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica, University of Udine, Via Delle Scienze, 208-33100 Udine, Italy
2Dipartimento di Ingegneria Civile e Architettura, University of Udine, Via Delle Scienze, 208-33100 Udine, Italy
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.
Conference paper (PDF, 406 KB)


Citation: Fusiello, A., Maset, E., and Crosilla, F.: RELIABLE EXTERIOR ORIENTATION BY A ROBUST ANISOTROPIC ORTHOGONAL PROCRUSTES ALGORITHM, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W1, 81-86, doi:10.5194/isprsarchives-XL-5-W1-81-2013, 2013.

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