Extraction of border ownership information by conditional random field model Koşullu rastgele alan modeli ile sinir sahipligi bilgisi çikarimi

Date

2013-04-26

Author

Özkan, Bugra
Kalkan, Sinan

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Border ownership is a kind of information used for determining the regions that own borders in an image. This information has recently become more valuable as it began to be used in many vision problems such as figure-ground segregation, depth perception and optical flow, however the quality and quantity of current literature are not sufficient yet. In this study, a Conditional Random Field model is developed for the enhancement of border ownership labelings, which are extracted with the help of some spatial cues at the beginning.

Subject Keywords

Border Ownership , Figure-Ground Segregation , Conditional Random Field, Graphical Models

URI

https://hdl.handle.net/11511/48750

DOI

https://doi.org/10.1109/siu.2013.6531455

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Department of Computer Engineering, Conference / Seminar

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Estimating border ownership using iterative vector voting and conditional random fields Özkan, Buğra; Kalkan, Sinan; Yarman Vural, Fatoş Tunay; Department of Computer Engineering (2014) Border ownership is the information that signifies which side of a border owns the border. Estimating this information has recently become very popular for perceptual organization as it allows rectification of ambigious visual information. It is applied on many computer vision problems such as object detection, depth perception and optical flow. In this thesis, two different approaches are followed to solve the border ownership problem. For the supervised approach, conditional random fields are used as it i...
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Citation Formats

B. Özkan and S. Kalkan, “Extraction of border ownership information by conditional random field model Koşullu rastgele alan modeli ile sinir sahipligi bilgisi çikarimi,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48750.