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  Towards robust scene analysis: A versatile mid-level feature framework

Engel, D., & Curio, C. (2010). Towards robust scene analysis: A versatile mid-level feature framework. Poster presented at 4th International Conference on Cognitive Systems (CogSys 2010), Zürich, Switzerland.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C18E-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-18D8-F
Genre: Poster

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CogSys 2010 Poster_[0].pdf (Any fulltext), 4MB
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CogSys 2010 Poster_[0].pdf
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 Creators:
Engel, D1, 2, 3, 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, Spemannstrasse 38, 72076 Tübingen, DE, 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: We present a novel set of shape-centered interest points. The interest points are formed at locations of high local symmetry. Our symmetry detection is based on Gradient Vector Flow (GVF) [1] fields which provide a high level of stability against noise. The shape centered interest points allow for a robust scale and orientation estimation. We have shown their usefulness for image encoding and superpixel segmentation and demonstrat that they carry information that is to a certain degree complementary to corner based interest points.

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 Dates: 2010-01
 Publication Status: Issued
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 Identifiers: BibTex Citekey: 6244
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Title: 4th International Conference on Cognitive Systems (CogSys 2010)
Place of Event: Zürich, Switzerland
Start-/End Date: 2010-01-27 - 2010-01-28

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Title: 4th International Conference on Cognitive Systems (CogSys 2010)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 74 Start / End Page: - Identifier: -