Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval

Sfikas, Konstantinos; Theoharis, Theoharis; Pratikakis, Ioannis

Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval

Files

001-007.pdf (1.57 MB)

Date

2017

Authors

Sfikas, Konstantinos
Theoharis, Theoharis
Pratikakis, Ioannis

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.

        @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
}
}