Paper
9 October 2009 Error estimation of 3D reconstruction from image sequences
Min Sun, Kerui Xia
Author Affiliations +
Proceedings Volume 7471, Second International Conference on Earth Observation for Global Changes; 747127 (2009) https://doi.org/10.1117/12.836764
Event: Second International Conference on Earth Observation for Global Changes, 2009, Chengdu, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Min Sun and Kerui Xia "Error estimation of 3D reconstruction from image sequences", Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 747127 (9 October 2009); https://doi.org/10.1117/12.836764
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KEYWORDS
3D modeling

Error analysis

3D image reconstruction

Calibration

Cameras

Photogrammetry

3D image processing

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