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Rectangle Region Based Stereo Matching for Building Reconstruction
Jing Wang,Toru Miyazaki,Hirokazu Koiziuni,Makoto Iwata,Jongwha Chong,Hiroyuki Yagyu,Hideo Shimazu,Takeshi Ikenaga,Satoshi Goto 대한전자공학회 2007 JUCT : Journal of Ubiquitous Convergence Technolog Vol.1 No.1
Feature based stereo matching is an effective way to perform 3D building reconstruction. However, in urban scene, the cluttered background and various building structures may interfere with the performance of building reconstruction. In this paper, we propose a novel method to robustly reconstruct buildings on the basis of rectangle regions. Firstly, we propose a multi-scale linear feature detector to obtain the salient line segments on the object contours. Secondly, candidate rectangle regions are extracted from the salient line segments based on their local information. Thirdly, stereo matching is performed with the list of matching line segments, which are boundary edges of the corresponding rectangles from the left and right image. Experimental results demonstrate that the proposed method can achieve better accuracy on the reconstructed result than pixel-level stereo matching.
Rectangle Region Based Stereo Matching for Building Reconstruction
Wang, Jing,Miyazaki, Toru,Koizumi, Hirokazu,Iwata, Makoto,Chong, Jong-Wha,Yagyu, Hiroyuki,Shimazu, Hideo,Ikenaga, Takeshi,Goto, Satoshi The Institute of Electronics and Information Engin 2007 JUCT : Journal of Ubiquitous Convergence Technolog Vol.1 No.1
Feature based stereo matching is an effective way to perform 3D building reconstruction. However, in urban scene, the cluttered background and various building structures may interfere with the performance of building reconstruction. In this paper, we propose a novel method to robustly reconstruct buildings on the basis of rectangle regions. Firstly, we propose a multi-scale linear feature detector to obtain the salient line segments on the object contours. Secondly, candidate rectangle regions are extracted from the salient line segments based on their local information. Thirdly, stereo matching is performed with the list of matching line segments, which are boundary edges of the corresponding rectangles from the left and right image. Experimental results demonstrate that the proposed method can achieve better accuracy on the reconstructed result than pixel-level stereo matching.