Title :
The application of Random Sample Consensus in photogrammetric relative orientation
Author :
Hui, Cao ; Ruisuo, Wang
Author_Institution :
School of Remote Sensing and Information Engineering, Wuhan University, China
Abstract :
This paper proposes a method based on the rule of Random Sample Consensus (RANSAC) to locate and extract gross errors in relative orientation. This method uses the coplanarity condition of stereo image pair as model to fit the data. With this method we do several experiments with different size gross errors to validate the effectiveness of it. The experiment results show the mismatching points with different size are eliminated. This improves the internal reliability of relative orientation.
Keywords :
Data models; Feature extraction; Image matching; Mathematical model; Measurement uncertainty; Reliability theory; mismatch; random sample consensus; relative orientation;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5689968
