Fitting quadrics with a Bayesian prior


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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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.


Item Type Conference or Workshop Items (Paper)
CreatorsBeale, D., Hall, P., Cosker, D., Yang, Y. and Campbell, N.
Related URLs
URLURL Type Full-text
DepartmentsFaculty of Science > Computer Science
Research CentresMedia Technology Research Centre
EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
ID Code50537


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