eTRIMS - E-Training for Interpreting Images of Man-Made Scenes
 
eTRIMS
     
project results:

Interpreting Structures in Man-Made Scenes:
Combining Low-Level and High-Level Structure Sources

Kasim Terzić (1), Lothar Hotz (1), Jan Šochman (2)
(1) Cognitive Systems Laboratory,
Department of Informatics
University of Hamburg
 (2) Center for Machine Perception
Czech Technical University in Prague
October, 2009

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.

References
[1] Terzić, K., Hotz, L. & Šochman, J.
Interpreting Structures in Man-Made Scenes: Combining Low-Level and High-Level Structure Sources;
To appear: International Conference on Agents and Artificial Intelligence 2010
04.01.2010