Title :
An Image Matching Method on Photography Measurement
Author :
Wei, Wang ; Jun, Hong ; Yiping, Tang ; Mingwei, Chui ; Pengtao, Yang
Author_Institution :
Sch. of Mech. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
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.
Keywords :
image matching; iterative methods; photography; stereo image processing; corner feature matching operation; image matching method; iteration algorithm; least squares median algorithm; region matching process; stereo images; stereo vision; topography feature matching algorithm; topography photography measurement images; urban planning; zero-crossing method; Area measurement; Force measurement; Image matching; Least squares methods; Mechanical variables measurement; Missiles; Partitioning algorithms; Photography; Surfaces; Urban planning; image match; photography measurement; stereo vision;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.221
