Automatic passive recovery of 3D from images and video

@article{Nistr2004AutomaticPR,
  title={Automatic passive recovery of 3D from images and video},
  author={David Nist{\'e}r},
  journal={Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.},
  year={2004},
  pages={438-445}
}
This paper gives a summary of automatic passive reconstruction of 3D scenes from images and video. Features are tracked between the images. Relative camera poses are then estimated based on the feature tracks. Both the feature tracking and the robust method used to estimate the camera poses has recently been shown to provide robust real-time performance. Given the camera poses, a more elaborate method is used to derive dense textured surfaces. The dense reconstruction method was originally part… CONTINUE READING
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References

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Automatic Dense Reconstruction from Uncalibrated Video Sequences

  • D. Nistér
  • PhD Thesis, Royal Institute of Technology KTH…
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Highly Influential
10 Excerpts

Calibration and Orientation of Cameras in Computer Vision

  • A. Gruen, T. S. Huang
  • Springer Verlag, ISBN 3-540-65283-3
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1 Excerpt

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