TY - GEN
T1 - SIFT feature point matching based on improved RANSAC algorithm
AU - Shi, Guangjun
AU - Xu, Xiangyang
AU - Dai, Yaping
PY - 2013
Y1 - 2013
N2 - When matching the SIFT feature points, there will be lots of mismatches. The RANSAC algorithm can be used to remove the mismatches by finding the transformation matrix of these feature points. But when the data space contains a lot of mismatches, finding the right transformation matrix will be very difficult. What's more, the probability of finding the error model is very large. Aiming at solving the problem, this paper proposed an improved RANSAC algorithm. Before using the RANSAC algorithm, we removed parts of the error feature points by two methods, one is eliminating features not belonging to the target area and the other is removing the crossing points. The two methods aimed to improve the proportion of feature points matched correctly. Experiments showed that, the improved RANSAC algorithm could find the model more accurately, improve efficiency, and make the feature point matching more accurately.
AB - When matching the SIFT feature points, there will be lots of mismatches. The RANSAC algorithm can be used to remove the mismatches by finding the transformation matrix of these feature points. But when the data space contains a lot of mismatches, finding the right transformation matrix will be very difficult. What's more, the probability of finding the error model is very large. Aiming at solving the problem, this paper proposed an improved RANSAC algorithm. Before using the RANSAC algorithm, we removed parts of the error feature points by two methods, one is eliminating features not belonging to the target area and the other is removing the crossing points. The two methods aimed to improve the proportion of feature points matched correctly. Experiments showed that, the improved RANSAC algorithm could find the model more accurately, improve efficiency, and make the feature point matching more accurately.
KW - Improved RANSAC
KW - Key point matching
KW - SIFT
UR - https://www.scopus.com/pages/publications/84891950411
U2 - 10.1109/IHMSC.2013.119
DO - 10.1109/IHMSC.2013.119
M3 - Conference contribution
AN - SCOPUS:84891950411
SN - 9780769550114
T3 - Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
SP - 474
EP - 477
BT - Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
T2 - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
Y2 - 26 August 2013 through 27 August 2013
ER -