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Authors: Francesco Bidoia 1 ; Matthia Sabatelli 2 ; Amirhossein Shantia 1 ; Marco A. Wiering 1 and Lambert Schomaker 1

Affiliations: 1 University of Groningen, Netherlands ; 2 University of Groningen and Université de Liège, Netherlands

Keyword(s): Deep Convolutional Neural Network, Image Recognition, Geometry Invariance, Autonomous Navigation Systems.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Computer Vision, Visualization and Computer Graphics ; Feature Selection and Extraction ; Image Understanding ; Pattern Recognition ; Robotics ; Software Engineering ; Theory and Methods

Abstract: In this paper we propose a new approach to Deep Neural Networks (DNNs) based on the particular needs of navigation tasks. To investigate these needs we created a labeled image dataset of a test environment and we compare classical computer vision approaches with the state of the art in image classification. Based on these results we have developed a new DNN architecture that outperforms previous architectures in recognizing locations, relying on the geometrical features of the images. In particular we show the negative effects of scale, rotation, and position invariance properties of the current state of the art DNNs on the task. We finally show the results of our proposed architecture that preserves the geometrical properties. Our experiments show that our method outperforms the state of the art image classification networks in recognizing locations.

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Paper citation in several formats:
Bidoia, F.; Sabatelli, M.; Shantia, A.; Wiering, M. and Schomaker, L. (2018). A Deep Convolutional Neural Network for Location Recognition and Geometry based Information. In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-276-9; ISSN 2184-4313, SciTePress, pages 27-36. DOI: 10.5220/0006542200270036

@conference{icpram18,
author={Francesco Bidoia. and Matthia Sabatelli. and Amirhossein Shantia. and Marco A. Wiering. and Lambert Schomaker.},
title={A Deep Convolutional Neural Network for Location Recognition and Geometry based Information},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2018},
pages={27-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006542200270036},
isbn={978-989-758-276-9},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - A Deep Convolutional Neural Network for Location Recognition and Geometry based Information
SN - 978-989-758-276-9
IS - 2184-4313
AU - Bidoia, F.
AU - Sabatelli, M.
AU - Shantia, A.
AU - Wiering, M.
AU - Schomaker, L.
PY - 2018
SP - 27
EP - 36
DO - 10.5220/0006542200270036
PB - SciTePress

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