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Carnegie Mellon Robotics Institute

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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~\cite{Hoiem_ijcv07} 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.

Notes

Text Reference

Santosh Kumar Divvala, Alexei A. Efros, and Martial Hebert, "Can Similar Scenes help Surface Layout Estimation?," IEEE Workshop on Internet Vision, at CVPR'08, June, 2008

BibTeX Reference

@incollection{Divvala_2008_6107,
   author = "Santosh Kumar Divvala and Alexei A. Efros and Martial Hebert",
   title = "Can Similar Scenes help Surface Layout Estimation?",
   booktitle = "IEEE Workshop on Internet Vision, at CVPR'08",
   month = "June",
   year = "2008",
}

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