Subarea RANSAC Matching Algorithm Based on Infrared Image
Article Abstract: RANSAC is a robustness estimate algorithm,always used in visible light images matching.In this paper,it is used in infrared images matching,and as the infrared images have low definition and lack of texture information,a subarea RANSAC matching algorithm is presented.In this algorithm,Harris algorithm is used in feature extraction.Then the aim face is divided into several areas,feature matching by RANSAC algorithm.Experimental results show this algorithm has high correct rates and low amount of calculation in matching of infrared images,and has high valuable in infrared modeling.
About Author:
Author: Fu Dongmei Wang WentaoPublisher: School of Information Engineering,University of Science and Technology Beijing,Beijing 100083
Keywords:infrared image, feature extraction, feature point matching, RANSAC algorithm
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