2 March 2016 Space resection model calculation based on Random Sample Consensus algorithm
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Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 99010K (2016) https://doi.org/10.1117/12.2234684
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China
Abstract
Resection has been one of the most important content in photogrammetry. It aims at the position and attitude information of camera at the shooting point. However in some cases, the observed values for calculating are with gross errors. This paper presents a robust algorithm that using RANSAC method with DLT model can effectually avoiding the difficulties to determine initial values when using co-linear equation. The results also show that our strategies can exclude crude handicap and lead to an accurate and efficient way to gain elements of exterior orientation.
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Xinzhu Liu, Xinzhu Liu, Zhizhong Kang, Zhizhong Kang, "Space resection model calculation based on Random Sample Consensus algorithm", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 99010K (2 March 2016); doi: 10.1117/12.2234684; https://doi.org/10.1117/12.2234684
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