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

Engel, D; Curio, C

Item

ITEM ACTIONSEXPORT

Add to Basket

Please note that a newer version of this item is available:
https://pure.mpg.de/pubman/item/item_1788959_3

DetailsSummary

Released

Poster

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

MPS-Authors

/persons/resource/persons83902

Engel, D
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83871

Curio, C
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

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.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-C18E-3

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.