Can Similar Scenes Help Surface Layout Estimation?

Santosh Kumar Divvala, Alexei A. Efros, Martial Hebert

CVPRW 2008 pp. 1-8

doi:10.1109/CVPRW.2008.4562951 /cvprw/2008/divvala2008cvprw-similar/

Abstract

We describe a preliminary investigation of utilising large amounts of unlabelled image data to help in the estimation of rough scene layout. We take the single-view geometry estimation system of Hoiem et al (2207) as the baseline and see if it is possible to improve its performance by considering a set of similar scenes gathered from the Web. The two complimentary approaches being considered are 1) improving surface classification by using average geometry estimated from the matches, and 2) improving surface segmentation by injecting segments generated from the average of the matched images. The system is evaluated using the labelled 300-image dataset of Hoiem et al. and shows promising results.

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Cite

Text

Divvala et al. "Can Similar Scenes Help Surface Layout Estimation?." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4562951

Markdown

[Divvala et al. "Can Similar Scenes Help Surface Layout Estimation?." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/divvala2008cvprw-similar/) doi:10.1109/CVPRW.2008.4562951

BibTeX

@inproceedings{divvala2008cvprw-similar,
  title     = {{Can Similar Scenes Help Surface Layout Estimation?}},
  author    = {Divvala, Santosh Kumar and Efros, Alexei A. and Hebert, Martial},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-8},
  doi       = {10.1109/CVPRW.2008.4562951},
  url       = {https://mlanthology.org/cvprw/2008/divvala2008cvprw-similar/}
}