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Naslov:Automated landmark points detection by using a mixture of approaches : the vole-teeth case
Avtorji:Potočnik, Božidar (Avtor)
Datoteke:URL http://link.springer.com/article/10.1007/s11760-012-0414-1#
 
Jezik:Angleški jezik
Vrsta gradiva:Delo ni kategorizirano (r6)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:This paper deals with the automated detection of a closed curvećs dominant points. We treat a curve as a 1-D function of the arc length. The problem of detecting dominant points is translated into seeking the extrema of the corresponding 1-D function. Three approaches for automated dominant points detection are presented: (1) an approach based on fitting polynomial, (2) an approach using 1-D computer registration and (3) an innovative approach based on a multi-resolution scheme, zero-crossing and hierarchical clustering. Afterwards, two methods are introduced based on the linearly and non-linearly mixing the results from the three approaches. We then mix the results in a mean-square error sense by using the linear and non-linear fittings, respectively. We experimentally demonstrate the problem of detecting 21 landmarks on 38 vole-teeth that by mixing, the detection accuracy is improved by up to 41.47 % with respect to the results for individual approaches, as applied within the mixture.
Ključne besede:closed curve, dominant point, landmark, automated detection, mixing model fitting, vole-tooth
Leto izida:2015
Št. strani:str. 93-104
Številčenje:Vol. 9, no. 1
UDK:004.93
COBISS_ID:16578070 Novo okno
DOI:10.1007/s11760-012-0414-1 Novo okno
ISSN pri članku:1863-1703
NUK URN:URN:SI:UM:DK:DRHRWZEL
Število ogledov:760
Število prenosov:16
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del revije

Naslov:Signal, image and video processing
Založnik:Springer
ISSN:1863-1703
COBISS.SI-ID:13373718 Novo okno

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