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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Can similar scenes help surface layout estimation?
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Santosh K. Divvala, Robotics Institute, Carnegie Mellon University, USA
Alexei A. Efros, Robotics Institute, Carnegie Mellon University, USA
Martial Hebert, Robotics Institute, Carnegie Mellon University, USA
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 [3] 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.
Citation:
Santosh K. Divvala, Alexei A. Efros, Martial Hebert, "Can similar scenes help surface layout estimation?," cvprw, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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