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Using Pure Translation to Get Euclidean Reconstruction 被引量:1

Using Pure Translation to Get Euclidean Reconstruction
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摘要 A technique for getting Euclidean reconstruction from two images of the same scene taken by a single moving camera, which undergoes a pure translation, is presented. Euclidean reconstruction of the scene up to three scale factors can be obtained by using this special but still realistic motion when the skew factor of the cam- era is zero; otherwise Euclidean reconstruction of the depth up to one scale factor can be achieved. The only assumption is that the camera intrinsic parameters are constant. Using this special but still realistic motion to do the reconstruction has the advantage that no projective reconstruction is needed and the Euclidean reconstruction is computed directly from the point correspondences in the two images. A technique for getting Euclidean reconstruction from two images of the same scene taken by a single moving camera, which undergoes a pure translation, is presented. Euclidean reconstruction of the scene up to three scale factors can be obtained by using this special but still realistic motion when the skew factor of the cam- era is zero; otherwise Euclidean reconstruction of the depth up to one scale factor can be achieved. The only assumption is that the camera intrinsic parameters are constant. Using this special but still realistic motion to do the reconstruction has the advantage that no projective reconstruction is needed and the Euclidean reconstruction is computed directly from the point correspondences in the two images.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2006年第2期167-171,共5页 北京理工大学学报(英文版)
基金 Sponsored bythe National"863"Program Project (2002AA735051)
关键词 pure translation Euclidean reconstruction structure from motion pure translation Euclidean reconstruction structure from motion
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参考文献1

  • 1Marc Pollefeys,Reinhard Koch,Luc Van Gool.Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters[J].International Journal of Computer Vision.1999(1)

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  • 2MA Songde.A self-calibration technique for active vision system[J].IEEE Transactions on Robotics and Automation,1996,12(1):114-120.
  • 3HU Zhaozheng,TAN Zheng.Depth recovery and affine reconstruction under camera pure translation[J].Journal of the Pattern Recognition Society,2007,40(10);2826-2836.
  • 4CHEN Zezhi,PEARS N,MCDERMID J,et al.Epipole estimation under pure camera translation[C]//Proceedings of the 7th Digital Image Computing,Techniques and Applications.Sydney,Austcalia:CSIRO Publishing,2003:849-858.
  • 5HARTLEY R,ZISSERMAN A.Multiple view geometry in computer vision[M].Cambridge,UK:Cambridge University Press,2000:247-250.
  • 6LOWED G.Distinctive image features from scale invariant keypoints[J].International Journal of Computer Vision,2004,60(2):91-110.
  • 7马颂德 张正友.计算机视觉--计算理论与算法基础[M].北京:科学出版社,1997..
  • 8雷成,吴福朝,胡占义.一种新的基于主动视觉系统的摄像机自标定方法[J].计算机学报,2000,23(11):1130-1139. 被引量:29

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