DocumentCode
714380
Title
Skeleton branch distances for shape recognition
Author
Boluk, S. Arda ; Demirci, M. Fatih
Author_Institution
Bilgisayar Muhendisligi Bolumu, TOBB Ekonomi ve Teknoloji Univ., Ankara, Turkey
fYear
2015
fDate
16-19 May 2015
Firstpage
552
Lastpage
555
Abstract
In this paper, we presented a novel shape recognition framework based on medial axis graph. After extracting medial axis graph of a shape, we constructed a multi-dimensional distribution by calculating distances between each node and all of the branch nodes in the graph. Then similarity rates between these distributions is found by using a transportation-based distance function. At last, we compared our results with results of similar works conducted in the past.
Keywords
shape recognition; branch nodes; medial axis graph; shape recognition framework; skeleton branch distances; transportation-based distance function; Computer vision; Earth; Histograms; IEEE Computer Society; Pattern recognition; Shape; Skeleton; Earth Mover´s Distance; Shape retrieval; medial axis graph; shape matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7129883
Filename
7129883
Link To Document