Intel RealSense SR305, D415 and L515: Experimental Evaluation and Comparison of Depth Estimation

Francisco Lourenço; Helder Araujo

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Paper

Intel RealSense SR305, D415 and L515: Experimental Evaluation and Comparison of Depth Estimation

Topics: Device Calibration, Characterization and Modeling; Image Formation, Acquisition Devices and Sensors

In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, 362-369, 2021

Authors: Francisco Lourenço and Helder Araujo

Affiliation: Institute of Systems and Robotics, Department of Elec. and Comp. Eng.,University of Coimbra, Coimbra, Portugal

Keyword(s): RGB-D Cameras, Experimental Evaluation, Experimental Comparison.

Abstract: In the last few years, Intel has launched several low-cost RGB-D cameras. Three of these cameras are the SR305, the L415, and the L515. These three cameras are based on different operating principles. The SR305 is based on structured light projection, the D415 is based on stereo based also using the projection of random dots, and the L515 is based on LIDAR. In addition, they all provide RGB images. In this paper, we perform an experimental analysis and comparison of the depth estimation by the three cameras.

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Paper citation in several formats:

Lourenço, F. and Araujo, H. (2021). Intel RealSense SR305, D415 and L515: Experimental Evaluation and Comparison of Depth Estimation. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 362-369. DOI: 10.5220/0010254203620369

@conference{visapp21,
author={Francisco Louren\c{C}o. and Helder Araujo.},
title={Intel RealSense SR305, D415 and L515: Experimental Evaluation and Comparison of Depth Estimation},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={362-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010254203620369},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - Intel RealSense SR305, D415 and L515: Experimental Evaluation and Comparison of Depth Estimation
SN - 978-989-758-488-6
IS - 2184-4321
AU - Lourenço, F.
AU - Araujo, H.
PY - 2021
SP - 362
EP - 369
DO - 10.5220/0010254203620369
PB - SciTePress