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Basic Image Features (BIFs) Arising from Approximate Symmetry Type

Griffin, LD; Lillholm, M; Crosier, M; van Sande, J; (2009) Basic Image Features (BIFs) Arising from Approximate Symmetry Type. In: Tai, XC and Morken, K and Lysaker, M and Lie, KA, (eds.) Scale Space and Variational Methods in Computer Vision. Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings. (pp. 343 - 355). SPRINGER-VERLAG BERLIN

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Abstract

We consider detection of local image symmetry using linear filters. We prove a simple criterion for determining if a filter is sensitive to a group Of symmetries. We show that derivative-of-Gaussian (DtG) filters are excellent at detecting local image symmetry. Building on this, we propose a very simple algorithm that, based on the responses of a bank of six DtG filters, classifies each location of an image into one of seven Basic Image Features (BIFs). This effectively and efficiently realizes Marr's proposal for an image primal sketch. We Summarize results on the use of BIFs for texture classification, object category detection, and pixel classification.

Type:Proceedings paper
Title:Basic Image Features (BIFs) Arising from Approximate Symmetry Type
Event:2nd International Conference on Scale Space and Variational Methods in Computer Vision
Location:Voss, NORWAY
Dates:2009-06-01 - 2009-06-05
ISBN-13:978-3-642-02255-5
DOI:10.1007/978-3-642-02256-2_29
Publisher version:http://dx.doi.org/10.1007/978-3-642-02256-2_29
Keywords:Gaussian Derivatives, Hermite Transform, Group Theory, LOCAL SYMMETRY, CLASSIFICATION, PERCEPTION, MODEL
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

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