Research

Fitting quadrics with a Bayesian prior


Reference:

Beale, D., Hall, P., Cosker, D., Yang, Y. and Campbell, N., 2016. Fitting quadrics with a Bayesian prior. In: 4th International conference on Computational Visual Media (CVM 2016), 2016-04-06 - 2016-04-08, Wales.

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Official URL:

http://dx.doi.org/10.1007/s41095-016-0041-9

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Abstract

Quadrics are a compact mathematical formulation for a range of primitive surfaces. A problem arises when there are not enough data-points to compute the model but knowledge of the shape is available. This paper presents a method for fitting a quadric with a Bayesian prior. We use a matrix normal prior in order to favour ellipsoids on ambiguous data. The results show the algorithm to cope well when there are few points in the point cloud, competing with contemporary techniques in the area.

Details

Item Type Conference or Workshop Items (Paper)
CreatorsBeale, D., Hall, P., Cosker, D., Yang, Y. and Campbell, N.
DOI10.1007/s41095-016-0041-9
Related URLs
URLURL Type
http://dx.doi.org/10.1007/s41095-016-0041-9Free Full-text
DepartmentsFaculty of Science > Computer Science
Research CentresMedia Technology Research Centre
EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
RefereedYes
StatusPublished
ID Code50537

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