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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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 Urheber:
Engel, D1, Autor           
Curio, C1, Autor           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Zusammenfassung: 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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 Datum: 2010-01
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Identifikatoren: URI: http://www.cogsys2010.ethz.ch/proceedings.html
BibTex Citekey: 6244
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Titel: 4th International Conference on Cognitive Systems (CogSys 2010)
Veranstaltungsort: Zürich, Switzerland
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