An Attention Model and its Application in Man-Made Scene Interpretation (2010)
Abstract / truncated to 115 words
The ultimate aim of research into computer vision is designing a system which interprets its surrounding environment in a similar way the human can do effortlessly. However, the state of technology is far from achieving such a goal. In this thesis different components of a computer vision system that are designed for the task of interpreting man-made scenes, in particular images of buildings, are described. The flow of information in the proposed system is bottom-up i.e., the image is first segmented into its meaningful components and subsequently the regions are labelled using a contextual classifier. Starting from simple observations concerning the human vision system and the gestalt laws of human perception, like the law of ...
computer vision – pattern recognition – attention models
Information
- Author
- Jahangiri, Mohammad
- Institution
- Imperial College London
- Supervisor
- Publication Year
- 2010
- Upload Date
- Jan. 5, 2010
First few pages / click to enlarge
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