Achieving RGB-D Level Segmentation Performance from a Single ToF Camera

Pranav Sharma; Jigyasa Katrolia; Jason Rambach; Bruno Mirbach; Didier Stricker; Didier Stricker

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Paper

Achieving RGB-D Level Segmentation Performance from a Single ToF Camera

Topics: Deep Learning and Neural Networks; Image and Video Analysis and Understanding; Machine Learning Methods

In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 171-178, 2024 , Rome, Italy

Authors: Pranav Sharma ¹ ; Jigyasa Katrolia ² ; Jason Rambach ² ; Bruno Mirbach ² and Didier Stricker ^{2

;

3}

Affiliations: ¹ FAU Erlangen, Germany ; ² German Research Center for Artificial Intelligence DFKI, Kaiserslautern, Germany ; ³ RPTU Kaiserslautern, Germany

Keyword(s): Multi-Modal Image Segmentation, Depth Image, Infrared Image, Machine Learning, Time-of-Flight, Deep Learning.

Abstract: Depth is a very important modality in computer vision, typically used as complementary information to RGB, provided by RGB-D cameras. In this work, we show that it is possible to obtain the same level of accuracy as RGB-D cameras on a semantic segmentation task using infrared (IR) and depth images from a single Time-of-Flight (ToF) camera. In order to fuse the IR and depth modalities of the ToF camera, we introduce a method utilizing depth-specific convolutions in a multi-task learning framework. In our evaluation on an in-car segmentation dataset, we demonstrate the competitiveness of our method against the more costly RGB-D approaches.

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Paper citation in several formats:

Sharma, P.; Katrolia, J.; Rambach, J.; Mirbach, B. and Stricker, D. (2024). Achieving RGB-D Level Segmentation Performance from a Single ToF Camera. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-684-2; ISSN 2184-4313, SciTePress, pages 171-178. DOI: 10.5220/0012265100003654

@conference{icpram24,
author={Pranav Sharma. and Jigyasa Katrolia. and Jason Rambach. and Bruno Mirbach. and Didier Stricker.},
title={Achieving RGB-D Level Segmentation Performance from a Single ToF Camera},
booktitle={Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2024},
pages={171-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012265100003654},
isbn={978-989-758-684-2},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Achieving RGB-D Level Segmentation Performance from a Single ToF Camera
SN - 978-989-758-684-2
IS - 2184-4313
AU - Sharma, P.
AU - Katrolia, J.
AU - Rambach, J.
AU - Mirbach, B.
AU - Stricker, D.
PY - 2024
SP - 171
EP - 178
DO - 10.5220/0012265100003654
PB - SciTePress