Title :
A Matching Method in the Hybrid Vision System
Author :
Chen, Xing ; He, Bingwei
Author_Institution :
Sch. of Mech. Eng., Fuzhou Univ., Fuzhou, China
Abstract :
This paper presents a matching method for rapidly acquiring corresponding points in the hybrid vision system. Firstly, an elementary introduction to the research of the hybrid vision system is given. Secondly, the Scale Invariant Feature Transform is used to obtain the initial matching point set. Thirdly, we describe the hybrid vision system model, and then we analyze the epipolar geometry of this system. Based on this, we develop a novel matching method to eliminate the mismatched points and enhance the accuracy of matching. Finally, experimental results prove the effectiveness of our proposed method.
Keywords :
computer vision; feature extraction; geometry; image matching; wavelet transforms; epipolar geometry; hybrid vision system; image matching method; matching point set; scale invariant feature transform; Cameras; Geometry; Machine vision; Mirrors; Robot vision systems; Transforms; Vectors;
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
DOI :
10.1109/SCET.2012.6342041
