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Simultaneous bottom-up/top-down processing in early and mid level vision
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index.pdf
Date
2008
Author
Erdem, Mehmet Erkut
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The prevalent view in computer vision since Marr is that visual perception is a data-driven bottom-up process. In this view, image data is processed in a feed-forward fashion where a sequence of independent visual modules transforms simple low-level cues into more complex abstract perceptual units. Over the years, a variety of techniques has been developed using this paradigm. Yet an important realization is that low-level visual cues are generally so ambiguous that they could make purely bottom-up methods quite unsuccessful. These ambiguities cannot be resolved without taking account of high-level contextual information. In this thesis, we explore different ways of enriching early and mid-level computer vision modules with a capacity to extract and use contextual knowledge. Mainly, we integrate low-level image features with contextual information within unied formulations where bottom-up and top-down processing take place simultaneously.
Subject Keywords
Computer science.
URI
http://etd.lib.metu.edu.tr/upload/12610167/index.pdf
https://hdl.handle.net/11511/17979
Collections
Graduate School of Natural and Applied Sciences, Thesis