Luka Šajn and Miroslav RADOJEVIĆ and Tomaž Dobravec 3D volume localization using miniatures. MIPRO 2014, 37th International Convention, May 26-30, 2014, Opatija, Croatia. BILJANOVIĆ, Petar (ur.). .
Abstract
The prediction of the position of a given volume sample in a full body atlas, also known as a volume localization, is a part of an initial stage of image retrieval in most of the dedicated CAD systems. In this paper we present two methods for volume localization, namely histogram matching and classifier regression. Since the histogram matching method ignores the spatial orientation, it is used when the orientation of the volume cubes are not the same. On the other hand the classifier regression is much faster and can be used as a quick estimation and as a tool to reduce the scope of the initial problem. Both presented methods were tested on a dataset with 3962 volumes of a human body atlas. The accuracy and the speed of execution was compared and is presented in this pape
| Item Type: | Article |
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| Institution: | University of Ljubljana |
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| Department: | Faculty of Computer and Information Science |
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| Divisions: | Faculty of Computer and Information Science > Computer Vision Laboratory |
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| Item ID: | 3095 |
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| Date Deposited: | 14 Sep 2015 14:20 |
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| Last Modified: | 14 Sep 2015 14:20 |
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| URI: | http://eprints.fri.uni-lj.si/id/eprint/3095 |
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