Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval

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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
A novel 3D model classification and retrieval method, based on the PANORAMA representation and Convolutional Neural Networks, is presented. Initially, the 3D models are pose normalized using the SYMPAN method and consecutively the PANORAMA representation is extracted and used to train a convolutional neural network. The training is based on an augmented view of the extracted panoramic representation views. The proposed method is tested in terms of classification and retrieval accuracy on standard large scale datasets.
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@inproceedings{
10.2312:3dor.20171045
, booktitle = {
Eurographics Workshop on 3D Object Retrieval
}, editor = {
Ioannis Pratikakis and Florent Dupont and Maks Ovsjanikov
}, title = {{
Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval
}}, author = {
Sfikas, Konstantinos
and
Theoharis, Theoharis
and
Pratikakis, Ioannis
}, year = {
2017
}, publisher = {
The Eurographics Association
}, ISSN = {
1997-0471
}, ISBN = {
978-3-03868-030-7
}, DOI = {
10.2312/3dor.20171045
} }
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