TY - GEN
T1 - An image matching method on photography measurement
AU - Wang, Wei
AU - Hong, Jun
AU - Tang, Yiping
AU - Chui, Mingwei
AU - Yang, Pengtao
PY - 2009
Y1 - 2009
N2 - The image feature matching is a critical step in photography measurement and rebuilding. Based on the Characteristics of topography measurement, a new topography feature matching algorithm is presented in this paper. In the algorithm, the stereo images to be matched are partitioned, and then the region matching process is used to these partitioned image pairs. Based on the region matching, the corner feature matching operation is then processed, which involves relaxed iteration algorithm, zero-crossing method and least squares median algorithms to eliminate the ill matching points. Three groups of topography photography measurement images are used in image matching experiment, the experiment results shows that this algorithm can effectively improve the computation efficiency and matching accuracy, thus has a wide applications in the area based on the principle of stereo vision, such as: topography photography measurement, urban planning, etc.
AB - The image feature matching is a critical step in photography measurement and rebuilding. Based on the Characteristics of topography measurement, a new topography feature matching algorithm is presented in this paper. In the algorithm, the stereo images to be matched are partitioned, and then the region matching process is used to these partitioned image pairs. Based on the region matching, the corner feature matching operation is then processed, which involves relaxed iteration algorithm, zero-crossing method and least squares median algorithms to eliminate the ill matching points. Three groups of topography photography measurement images are used in image matching experiment, the experiment results shows that this algorithm can effectively improve the computation efficiency and matching accuracy, thus has a wide applications in the area based on the principle of stereo vision, such as: topography photography measurement, urban planning, etc.
UR - https://www.scopus.com/pages/publications/70449392615
U2 - 10.1109/CSO.2009.221
DO - 10.1109/CSO.2009.221
M3 - 会议稿件
AN - SCOPUS:70449392615
SN - 9780769536057
T3 - Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
SP - 176
EP - 180
BT - Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
T2 - 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
Y2 - 24 April 2009 through 26 April 2009
ER -