Title: | Multi-view random fields and street-side imagery |
Authors: | Recky, Michal Leberl, Franz Ferko, Andrej |
Citation: | Journal of WSCG. 2012, vol. 20, no. 2, p. 137-144. |
Issue Date: | 2012 |
Publisher: | Václav Skala - UNION Agency |
Document type: | článek article |
URI: | http://wscg.zcu.cz/WSCG2012/!_2012-Journal-Full-2.pdf http://hdl.handle.net/11025/1074 |
ISSN: | 1213–6972 (hardcopy) 1213–6980 (CD-ROM) 1213–6964 (on-line) |
Keywords: | náhodná pole;grafické modely;multi-view scénáře;počítačové vidění |
Keywords in different language: | random fields;graphic models;multi-view scenarios;computer vision |
Abstract: | In this paper, we present a method that introduces graphical models into a multi-view scenario. We focus on a popular Random Fields concept that many researchers use to describe context in a single image and introduce a new model that can transfer context directly between matched images – Multi-View Random Fields. This method allows sharing not only visual information between images, but also contextual information for the purpose of object recognition and classification. We describe the mathematical model for this method as well as present the application for a domain of street-side image datasets. In this application, the detection of façade elements has improved by up to 20% using Multi-view Random Fields. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | Number 2 (2012) |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/1074
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