The Community for Technology Leaders
RSS Icon
Subscribe
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-8
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
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 [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, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-8, doi:10.1109/CVPRW.2008.4562951
17 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool