ML Anthology

Inferring Temporal Order of Images from 3D Structure

Grant Schindler, Frank Dellaert, Sing Bing Kang
CVPR 2007
doi:10.1109/CVPR.2007.383088 /cvpr/2007/schindler2007cvpr-inferring/

Abstract

In this paper, we describe a technique to temporally sort a collection of photos that span many years. By reasoning about persistence of visible structures, we show how this sorting task can be formulated as a constraint satisfaction problem (CSP).Casting this problem as a CSP allows us to efficiently find a suitable ordering of the images despite the large size of the solution space (factorial in the number of images) and the presence of occlusions. We present experimental results for photographs of a city acquired over a one hundred year period.

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Text

Schindler et al. "Inferring Temporal Order of Images from 3D Structure." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383088

Markdown

[Schindler et al. "Inferring Temporal Order of Images from 3D Structure." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/schindler2007cvpr-inferring/) doi:10.1109/CVPR.2007.383088

BibTeX

@inproceedings{schindler2007cvpr-inferring,
  title     = {{Inferring Temporal Order of Images from 3D Structure}},
  author    = {Schindler, Grant and Dellaert, Frank and Kang, Sing Bing},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383088},
  url       = {https://mlanthology.org/cvpr/2007/schindler2007cvpr-inferring/}
}