Abstract
Recognizing structure is an important aspect of interpreting many computer vision domains. Structure can manifest itself both visually, in terms of repeated low-level phenomena, and conceptually, in terms of a high-level compositional hierarchy. In this paper, we demonstrate an approach for combining a low-level repetitive structure detector with a logical high-level interpretation system. We evaluate the performance on a set of images from the building facade domain.
Original language | English |
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Title of host publication | ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings |
Pages | 357-364 |
Number of pages | 8 |
Volume | 1 |
Publication status | Published - 9 Sept 2010 |
Event | 2nd International Conference on Agents and Artificial Intelligence, ICAART 2010 - Valencia, Spain Duration: 22 Jan 2010 → 24 Jan 2010 |
Conference
Conference | 2nd International Conference on Agents and Artificial Intelligence, ICAART 2010 |
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Country/Territory | Spain |
City | Valencia |
Period | 22/01/10 → 24/01/10 |
Keywords
- Computer vision
- High-level vision
- Image processing
- Scene interpretation