Fitting multiple projective models using clustering-based Markov chain Monte Carlo inference

George Terzakis; Phil F. Culverhouse; Guido Bugmann; Robert Sutton

doi:10.1016/j.imavis.2014.10.009

Fitting multiple projective models using clustering-based Markov chain Monte Carlo inference

George Terzakis^*
, Phil F. Culverhouse
, Guido Bugmann
, Robert Sutton

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	15-25
Number of pages	0
Journal	Image and Vision Computing
Volume	33
Issue number	0
DOIs	https://doi.org/10.1016/j.imavis.2014.10.009
Publication status	Published - 2015

Keywords

Multiple model fitting
Clustering
Markov chain Monte Carlo
Two-view geometry
Markov random field

Access to Document

10.1016/j.imavis.2014.10.009

Cite this

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title = "Fitting multiple projective models using clustering-based Markov chain Monte Carlo inference",

keywords = "Multiple model fitting, Clustering, Markov chain Monte Carlo, Two-view geometry, Markov random field",

author = "George Terzakis and Culverhouse, \{Phil F.\} and Guido Bugmann and Robert Sutton",

year = "2015",

doi = "10.1016/j.imavis.2014.10.009",

language = "English",

volume = "33",

pages = "15--25",

journal = "Image and Vision Computing",

issn = "0262-8856",

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AU - Terzakis, George

AU - Culverhouse, Phil F.

AU - Bugmann, Guido

AU - Sutton, Robert

PY - 2015

Y1 - 2015

KW - Multiple model fitting

KW - Clustering

KW - Markov chain Monte Carlo

KW - Two-view geometry

KW - Markov random field

U2 - 10.1016/j.imavis.2014.10.009

DO - 10.1016/j.imavis.2014.10.009

M3 - Article

SN - 0262-8856

VL - 33

SP - 15

EP - 25

JO - Image and Vision Computing

JF - Image and Vision Computing

IS - 0

ER -