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A new shape descriptor based on an angular-linear probability distribution | IEEE Conference Publication | IEEE Xplore

A new shape descriptor based on an angular-linear probability distribution


Abstract:

Motivated by the increased consideration of probability distributions as local descriptors of shape, we propose a local descriptor based on a bivariate circular distribut...Show More

Abstract:

Motivated by the increased consideration of probability distributions as local descriptors of shape, we propose a local descriptor based on a bivariate circular distribution. Although some bivariate circular distributions are difficult to compute, our descriptor is computationally feasible because it is a generalization of the mixture of von Mises distributions. Using various shapes formed by line drawings, we show that our descriptor is more effective in shape retrieval than several conventional local descriptors.
Date of Conference: 03-06 November 2015
Date Added to IEEE Xplore: 09 June 2016
ISBN Information:
Electronic ISSN: 2327-0985
Conference Location: Kuala Lumpur, Malaysia

References

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