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  Medial Features for Superpixel Segmentation

Engel, D., Spinello, L., Triebel, R., Siegwart, R., Bülthoff, H., & Curio, C. (2009). Medial Features for Superpixel Segmentation. In Eleventh IAPR Conference on Machine Vision Applications (MVA 2009) (pp. 248-252). Tokyo, Japan: MVA Conference Committee.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C4F4-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-1899-6
Genre: Conference Paper

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 Creators:
Engel, D1, 2, 3, Author              
Spinello, L, Author
Triebel, R, Author
Siegwart, R, Author
Bülthoff, HH1, 2, Author              
Curio, C1, 2, 3, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528702              

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 Abstract: Image segmentation plays an important role in computer vision and human scene perception. Image oversegmentation is a common technique to overcome the problem of managing the high number of pixels and the reasoning among them. Specifically, a local and coherent cluster that contains a statistically homogeneous region is denoted as a superpixel. In this paper we propose a novel algorithm that segments an image into superpixels employing a new kind of shape centered feature which serve as a seed points for image segmentation, based on Gradient Vector Flow fields (GVF) [14]. The features are located at image locations with salient symmetry. We compare our algorithm to state-of-the-art superpixel algorithms and demonstrate a performance increase on the standard Berkeley Segmentation Dataset.

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 Dates: 2009-05
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: 5760
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Title: Eleventh IAPR Conference on Machine Vision Applications (MVA 2009)
Place of Event: Yokohama, Japan
Start-/End Date: 2009-05-20 - 2009-05-22

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Title: Eleventh IAPR Conference on Machine Vision Applications (MVA 2009)
Source Genre: Proceedings
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Publ. Info: Tokyo, Japan : MVA Conference Committee
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 248 - 252 Identifier: ISBN: 978-4-901122-09-2