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Proceedings Paper

Error estimation of 3D reconstruction from image sequences
Author(s): Min Sun; Kerui Xia
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Paper Abstract

3D object reconstruction from image sequences is an economic way to extract spatial information from observed scene. In a long period, people from remote sensing and photogrammetry fields interest the application of 3D reconstruction theory and technologies. However, for the application of 3D reconstruction in the field of photogrammetry, error estimation of the result must be fully demonstrated. In this paper, error propagation rules in 3D reconstruction process has deduced on the base of matrix analysis method, and a calculation method of covariance matrix is presented for estimate errors of elements of the reconstruction result, while the related factors' effects to the result are analyzed. In addition, experiments are introduced to demonstrate the error estimation for 3D reconstruction.

Paper Details

Date Published: 9 October 2009
PDF: 8 pages
Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 747127 (9 October 2009); doi: 10.1117/12.836764
Show Author Affiliations
Min Sun, Peking Univ. (China)
Kerui Xia, Central South Univ. (China)

Published in SPIE Proceedings Vol. 7471:
Second International Conference on Earth Observation for Global Changes
Xianfeng Zhang; Jonathan Li; Guoxiang Liu; Xiaojun Yang, Editor(s)

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