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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: https://hdl.handle.net/11858/00-001M-0000-0013-C4F4-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-F92E-3
Genre: Conference Paper

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 Creators:
Engel, D1, 2, Author           
Spinello, L, Author
Triebel, R, Author
Siegwart, R, Author
Bülthoff, HH1, 2, Author           
Curio, C1, 2, 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              

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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: Issued
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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