ML Anthology

Reconstructing 3D Independent Motions Using Non-Accidentalness

Kemal Egemen Ozden, Kurt Cornelis, Luc Van Eycken, Luc Van Gool
CVPR 2004 pp. 819-825
doi:10.1109/CVPR.2004.202 /cvpr/2004/ozden2004cvpr-reconstructing/

Abstract

Reconstructing 3D scenes with independently moving objects from uncalibrated monocular image sequences still poses serious challenges. One important problem is to find the relative scales between these different reconstructed objects. The perspective reconstruction of a single object can only be known up to a certain scale which results in a one-parameter family of relative scales and trajectories per moving object. The paper formulates this ambiguity and proposes solutions in the vein of "non-accidentalness". Two instantiations of its use are analyzed: planar motion and the 'heading constraint'.

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Cite

Text

Ozden et al. "Reconstructing 3D Independent Motions Using Non-Accidentalness." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.202

Markdown

[Ozden et al. "Reconstructing 3D Independent Motions Using Non-Accidentalness." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/ozden2004cvpr-reconstructing/) doi:10.1109/CVPR.2004.202

BibTeX

@inproceedings{ozden2004cvpr-reconstructing,
  title     = {{Reconstructing 3D Independent Motions Using Non-Accidentalness}},
  author    = {Ozden, Kemal Egemen and Cornelis, Kurt and Van Eycken, Luc and Van Gool, Luc},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {819-825},
  doi       = {10.1109/CVPR.2004.202},
  url       = {https://mlanthology.org/cvpr/2004/ozden2004cvpr-reconstructing/}
}