ML Anthology

Two-View Multibody Structure-and-Motion with Outliers

Konrad Schindler, David Suter
CVPR 2005 pp. 676-683
doi:10.1109/CVPR.2005.355 /cvpr/2005/schindler2005cvpr-two/

Abstract

Multi-body structure-and-motion (MSaM) is the problem to establish the multiple-view geometry of several views of a 3D scene taken at different times, where the scene consists of multiple rigid objects moving relative to each other. We examine the case of two views. The setting is the following: given are a set of corresponding image points in two images, which originate from an unknown number of moving scene objects, each giving rise to a motion model. Furthermore, the measurement noise is unknown, and there are a number of gross errors, which are outliers to all models. The task to find an optimal set of motion models for the measurements is solved through Monte-Carlo sampling, careful statistical analysis of the data and simultaneous selection of multiple motion models.

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Cite

Text

Schindler and Suter. "Two-View Multibody Structure-and-Motion with Outliers." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.355

Markdown

[Schindler and Suter. "Two-View Multibody Structure-and-Motion with Outliers." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/schindler2005cvpr-two/) doi:10.1109/CVPR.2005.355

BibTeX

@inproceedings{schindler2005cvpr-two,
  title     = {{Two-View Multibody Structure-and-Motion with Outliers}},
  author    = {Schindler, Konrad and Suter, David},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {676-683},
  doi       = {10.1109/CVPR.2005.355},
  url       = {https://mlanthology.org/cvpr/2005/schindler2005cvpr-two/}
}