dc.contributor.author | Christmas, JT | |
dc.contributor.author | Everson, RM | |
dc.contributor.author | Bell, J | |
dc.contributor.author | Winlove, CP | |
dc.date.accessioned | 2016-03-10T09:39:15Z | |
dc.date.issued | 2014-05-06 | |
dc.description.abstract | We introduce a novel Bayesian inexact point pattern matching model that assumes that a linear transformation relates the two sets of points. The matching problem is inexact due to the lack of one-to-one correspondence between the point sets and the presence of noise. The algorithm is itself inexact; we use variational Bayesian approximation to estimate the posterior distributions in the face of a problematic evidence term. The method turns out to be similar in structure to the iterative closest point algorithm. | en_GB |
dc.description.sponsorship | This work was supported by the University of Exeter’s Bridging the Gaps initiative, which was funded by EPSRC award EP/I001433/1 and the collaboration was formed through the Exeter Imaging Network. | en_GB |
dc.identifier.citation | Vol. 47, Iss. 10, October 2014, pp. 3265 - 3275 | en_GB |
dc.identifier.doi | 10.1016/j.patcog.2014.04.022 | |
dc.identifier.uri | http://hdl.handle.net/10871/20650 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.relation.url | http://www.sciencedirect.com/science/article/pii/S003132031400168X | en_GB |
dc.rights.embargoreason | Publisher's policy. | en_GB |
dc.rights | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record. | en_GB |
dc.subject | Linear transformation | en_GB |
dc.subject | Iterative closest point algorithm | en_GB |
dc.subject | Point pattern matching | en_GB |
dc.subject | Variational approximation | en_GB |
dc.subject | Bayesian methods | en_GB |
dc.title | Inexact Bayesian point pattern matching for linear transformations | en_GB |
dc.type | Article | en_GB |
dc.identifier.issn | 0031-3203 | |
dc.description | Published | en_GB |
dc.description | Article | en_GB |
dc.identifier.journal | Pattern Recognition | en_GB |