DOIONLINE

DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-3785

Publish In
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT
Journal Home
Volume Issue
Issue
Volume-3, issue-4, Spl. Iss-4  ( Oct, 2015 )
Paper Title
Graph Theoretical Approach To Detection Of Outliers In Point Clouds
Author Name
Mehmet Ali Balci, Sibelpasaliatmaca, Omerakguller
Affilition
MuğlaSıtkıKoçman University, Faculty of Science, Department of Mathematics, Menteşe, 48000, Muğla, Turkey
Pages
60-62
Abstract
Point clouds can be seen as the graphs that vertices are embedded in Euclidean space. In this paper, we present a heuristic outlier detection method by using graph theoretical concepts. This method is less dependent to noise in the raw point cloud data and efficient in to capture geometric properties by defining edges of the graph via threshold distances.
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