Image-based Classification of Swiss Traditional Costumes using Contextual Features

Artem Khatchatourov; Christoph Stamm

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Paper

Image-based Classification of Swiss Traditional Costumes using Contextual Features

Topics: Features Extraction; Imaging and Vision for Cultural Heritage; Object and Face Recognition; Object Detection and Localization

In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, 412-420, 2020 , Valletta, Malta

Authors: Artem Khatchatourov and Christoph Stamm

Affiliation: Institute of Mobile and Distributed Systems, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Bahnhofstrasse 6, 5210 Windisch, Switzerland

Keyword(s): Feature-based Object Recognition, Pattern Matching, Clothing Recognition, Machine Learning.

Abstract: In this work we propose a method for feature-based clothing recognition, and prove its applicability by performing image-based recognition of Swiss traditional costumes. We employ an estimation of a simplified human skeleton (a poselet) to extract visually indistinguishable but reproducible features. The descriptors of those features are constructed, while accounting for possible displacement of clothes along human body. The similarity metrics mean squared error and correlation coefficient are surveyed, and color spaces YIQ and CIELAB are investigated for their ability to isolate scene brightness in a separate channel. We show that the model trained with mean squared error performs best in the CIELAB color space and achieves an F0.5-score of 0.77. Furthermore, we show that omission of the brightness channel produces less biased, but overall poorer descriptors.

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Paper citation in several formats:

Khatchatourov, A. and Stamm, C. (2020). Image-based Classification of Swiss Traditional Costumes using Contextual Features. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 412-420. DOI: 10.5220/0009102404120420

@conference{visapp20,
author={Artem Khatchatourov. and Christoph Stamm.},
title={Image-based Classification of Swiss Traditional Costumes using Contextual Features},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={412-420},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009102404120420},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Image-based Classification of Swiss Traditional Costumes using Contextual Features
SN - 978-989-758-402-2
IS - 2184-4321
AU - Khatchatourov, A.
AU - Stamm, C.
PY - 2020
SP - 412
EP - 420
DO - 10.5220/0009102404120420
PB - SciTePress