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Semantic Reasoning for Scene Interpretation
Date
2008-01-01
Author
Jensen, Lars B. W.
Baseski, Emre
Kalkan, Sinan
Pugeault, Nicolas
Woergoetter, Florentin
Krueger, Norbert
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In this paper, we propose a hierarchical architecture for representing scenes, covering 2D and 3D aspects of visual scenes as well as the semantic relations between the different aspects. We argue that labeled graphs are a suitable representational framework for this representation and demonstrate its potential by two applications. As a first application, we localize lane structures by the semantic descriptors and their relations in a Bayesian framework. As the second application, which is in the context of vision based grasping, we show how the semantic relations can be associated to actions that allow for grasping without using any object knowledge.
Subject Keywords
cognitive vision
,
semantic reasoning
,
bayesian classification
URI
https://hdl.handle.net/11511/96596
DOI
https://doi.org/10.1007/978-3-540-92781-5_10
Conference Name
4th International Cognitive Vision Workshop (ICVW 2008)
Collections
Department of Computer Engineering, Conference / Seminar
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L. B. W. Jensen, E. Baseski, S. Kalkan, N. Pugeault, F. Woergoetter, and N. Krueger, “Semantic Reasoning for Scene Interpretation,” Santorini, Yunanistan, 2008, vol. 5329, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/96596.