DocumentCode :
678743
Title :
Defining a geometric probability measure in correspondence problems for branched structures
Author :
Floriello, Davide ; Botterill, Tom ; Green, Ron
Author_Institution :
Univ. of Canterbury, Christchurch, New Zealand
fYear :
2013
fDate :
27-29 Nov. 2013
Firstpage :
311
Lastpage :
316
Abstract :
Correspondence Problems in the case of branched structures are a challenging and interesting sub-case of general Correspondence Problems. Many usual assumptions do not hold in this framework. Therefore, we seek to define a probability measure for the correspondence that takes into account only the geometrical properties of the structure which are known to be always true and some possible observed features. In the present paper we first define what should be meant as solution to Correspondence Problems in the case of branched structures. Then, we propose a probability measure defined only on the epipolar constraint and observable variables. We state that, in this way, we can generalize some general assumptions, e.g. the ordering constraint. Finally, we test the goodness of our definition of probability measure using a simplified framework, i.e. the images show the entire scene. We apply our probability to find correspondences in simulated examples and propose further developments for a correspondence method.
Keywords :
computer vision; geometry; probability; branched structures; computer vision; correspondence problems; epipolar constraint; geometric probability measure; geometrical properties; observable variables; Cameras; Educational institutions; Feature extraction; Geometry; Image reconstruction; Optimal matching; Vectors; Computer vision; Network problems; Trees;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of
Conference_Location :
Wellington
ISSN :
2151-2191
Print_ISBN :
978-1-4799-0882-0
Type :
conf
DOI :
10.1109/IVCNZ.2013.6727035
Filename :
6727035
Link To Document :
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