Long-range 3D reconstruction based on wide-baseline stereo vision

被引:0
|
作者
Wang W.-Q. [1 ]
Xu J. [1 ]
Du X. [1 ]
Liu J.-L. [1 ]
机构
[1] Zhejiang Provincial Key Laboratory of Information Network Technology, Institute of Information and Communication Engineering, Zhejiang University
关键词
3D reconstruction; Self-calibration; Stereo vision; Wide-baseline;
D O I
10.3785/j.issn.1008-973X.2010.06.004
中图分类号
学科分类号
摘要
A self-calibration based wide-baseline stereo vision technique was proposed for remote scene's 3D reconstruction in vision based navigation of lunar rover. Correspondences between stereo rig were obtained by extracting and matching of scale-invariant feature transform (SIFT) features. Then with the epipolar geometrical description of rectifying collineation, the least-squares solution to Sampson error was achieved by Levenberg-Marquardt (LM) algorithm, which obtained the camera parameter and the rectified stereo rig. Following, the wide-baseline dense matching was completed using seeds' disparity expansion algorithm. Finally, target's 3D reconstruction was achieved on the calculated disparity. This technique is demonstrated to have good performance on a number of remote natural mountain scenes and solve the problems of field calibration, change in illumination, perspective deformations and occlusions in wide-baseline stereo vision.
引用
收藏
页码:1073 / 1078
页数:5
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