NDLI: An Area and Feature-Based Matching Method for 3D Reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Chun-Hua Zhuang Zhen-Yu Li Pu Wang Chong-Zheng Sun
Copyright Year	2007
Description	Author affiliation: Beijing Univ. of Technol., Beijing (Chun-Hua Zhuang; Zhen-Yu Li; Pu Wang; Chong-Zheng Sun)
Abstract	This paper proposes a junction detection method in images by searching for the intersection of the linear ridges in gradient domain, and then presents a stereo matching method based on this new algorithm of junction detection, in order to meet the need of 3D reconstruction system. The images are uncalibrated and can be taken by different cameras or a single camera at different time instants. The proposed method adopts a strategy from rough matching to delicate matching. In the first matching process, the probability of mismatching is decreased on the cost of reducing the matching number. Thus, only the junctions with high strength are matched and the direction angles of the junctions' branches are used as a matching constraint. Then, the fundamental matrix is estimated by RANSAC and normalized 8-point algorithm. At last, the parameters of the junction detection are modified and the Harries corner detection is added to get more feature points. More matching points could be obtained through the guide of the fundamental matrix in the second matching process. The experiment results show that this algorithm has good performance on speed, accuracy and could obtain more edge matching points.
Starting Page	562
Ending Page	566
File Size	609074
Page Count	5
File Format	PDF
ISBN	0769530389
DOI	10.1109/ICCIT.2007.138
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Costs Control engineering Image edge detection Image matching Cameras Surface fitting Information technology Sun Image reconstruction
Content Type	Text
Resource Type	Article

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