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Active Testing Search for Point Cloud Matching

Authors: Miguel Amável Pinheiro; Raphael Sznitman; Eduard Serradell; Jan Kybic; Francesc Moreno-Noguer; Pascal Fua;

Active Testing Search for Point Cloud Matching

Abstract

We present a general approach for solving the point-cloud matching problem for the case of mildly nonlinear transformations. Our method quickly finds a coarse approximation of the solution by exploring a reduced set of partial matches using an approach to which we refer to as Active Testing Search (ATS). We apply the method to registration of graph structures by branching point matching. It is based solely on the geometric position of the points, no additional information is used nor the knowledge of an initial alignment. In the second stage, we use dynamic programming to refine the solution. We tested our algorithm on angiography, retinal fundus, and neuronal data gathered using electron and light microscopy. We show that our method solves cases not solved by most approaches, and is faster than the remaining ones.

Keywords

:Informàtica::Automàtica i control [Àrees temàtiques de la UPC], Information Storage and Retrieval, Models, Biological, Sensitivity and Specificity, HE HAGUT DE CREAR UN ALTRE PERFIL DE EDUARD SERRADELL [active search NOTA], Pattern Recognition, Automated, HA DESAPAREGUT., Artificial Intelligence, computer vision image matching Author keywords: graph matching, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Image Interpretation, Computer-Assisted, Humans, Graph matching, Image registration, Models, Statistical, Active search, non-rigid registration, Reproducibility of Results, Bayes Theorem, Dendrites, Image Enhancement, active search NOTA: HE HAGUT DE CREAR UN ALTRE PERFIL DE EDUARD SERRADELL, Point cloud matching, Classificació INSPEC::Pattern recognition::Computer vision, Subtraction Technique, graph matching [computer vision image matching Author keywords], :Pattern recognition::Computer vision [Classificació INSPEC], Algorithms

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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4
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