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A shape distance based on the Fisher–Rao metric and its application for shapes clustering
Physica A: Statistical Mechanics and Its Applications, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stefano Antonio Gattone +2 more
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Characterising Facial Gender Difference Using Fisher-Rao Metric
2010 20th International Conference on Pattern Recognition, 2010The aim in this paper is to explore whether the Fisher-Rao metric can be used to measure different facets of facial shape estimated from fields of surface normals using the von-Mises Fisher distribution. In particular we aim to characterise the shape changes due to differences in gender.
Edwin R Hancock
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Distinguishing facial expression using the Fisher-Rao metric
2010 IEEE International Conference on Image Processing, 2010The aim in this paper is to explore whether the Fisher-Rao metric can be used to characterise the shape changes due to differences expression. We work with a representation of facial shape based on fields of surface normals. Using the von- Mises Fisher distribution, we compute the elements of the Fisher information matrix, and use this to compute ...
Edwin R Hancock
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Detection of image structures using the Fisher information and the Rao metric [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004 In many detection problems, the structures to be detected are parameterized by the points of a parameter space. If the conditional probability density function for the measurements is known, then detection can be achieved by sampling the parameter space ...
Stephen Maybank, S J Maybank
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Fisher-Rao Metric and Variance Based Stratum Coorelation Method from Multi-Resource Data
Journal of Computational and Theoretical Nanoscience, 2016Faming Gong +4 more
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On closed-form expressions for the Fisher–Rao distance [PDF]
Information GeometryThe Fisher-Rao distance is the geodesic distance between probability distributions in a statistical manifold equipped with the Fisher metric, which is a natural choice of Riemannian metric on such manifolds. It has recently been applied to supervised and
Fabio C C Meneghetti +2 more
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The Fisher-Rao Metric in Computer Vision
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019The Fisher-Rao metric is a Riemannian metric defined on any manifold that forms the parameter space for a family of probability distributions. The metric is specified by quadratic forms defined on the tangent spaces of the manifold. If a parameterisation of the manifold is chosen then each quadratic form is given by a symmetric positive definite matrix.
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Using the Fisher-Rao Metric to Compute Facial Similarity
2010In this paper we show how the Fisher-Rao metric can be used to compute the similarity of fields of surface normals, under the assumption of a von-Mises Fisher (vMF) distribution. We use the similarity measure to analyse differences in facial shape due to gender and expression.
Simone Ceolin, Edwin R. Hancock
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Pairwise alignment of chromatograms using an extended Fisher–Rao metric
Analytica Chimica Acta, 2014A conceptually new approach for aligning chromatograms is introduced and applied to examples of metabolite identification in human blood plasma by liquid chromatography-mass spectrometry (LC-MS). A square-root representation of the chromatogram's derivative coupled with an extended Fisher-Rao metric enables the computation of relative differences ...
W E, Wallace +3 more
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