Analyzing the Impact of Object Distances, Surface Textures and lnterferences on the Image Quality of Low-Cost RGB-D Consumer Cameras for the Use in lndustrial Applications

Schäffer E, Beck A, Eberle J, Metzner M, Blank A, Seßner J, Franke J (2017)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Publisher: Apprimus Verlag

City/Town: Aachen

Pages Range: 215-221

Conference Proceedings Title: 7. WGP-Jahreskongress

Event location: Aachen DE

ISBN: 978-3-86359-555-5

Abstract

Low-cost RGB-D cameras are currently used in
applications in which their functionality and low price is
preferred over accuracy. As there are many approaches for
software optimization, the focus is primarily on improving the
measurement setup to increase depth image quality of popular
RGB-D sensors: we analyze the potentials of the Microsoft
Kinect v1, Kinect v2 and Intel RealSense R200 as they differ in
weight, power consumption, resolution and technology to acquire
3D-information resulting in different strengths and potentials.
Initially, we briefly explain our measurement setup, the
adjustable inputs and resulting outputs such as standard
deviation of depth values, precision and error rate. Afterwards
the results for each indicator, depending on camera sensors,
surfaces, and distances between object and camera will be
displayed. Based on our results, it is possible to quickly derive
optimal scene surroundings to improve the depth image of a
given 3D-camera before any programming effort is needed. A
more accurate depth image improves subsequent image
processing such as mapping, object or gesture tracking. This
paper states the context in which a given camera or surface
performs best depth quality, and how to link the results to
industrial environments.

Authors with CRIS profile

How to cite

APA:

Schäffer, E., Beck, A., Eberle, J., Metzner, M., Blank, A., Seßner, J., & Franke, J. (2017). Analyzing the Impact of Object Distances, Surface Textures and lnterferences on the Image Quality of Low-Cost RGB-D Consumer Cameras for the Use in lndustrial Applications. In Schuh, G.; Schmitt, R. (Eds.), 7. WGP-Jahreskongress (pp. 215-221). Aachen, DE: Aachen: Apprimus Verlag.

MLA:

Schäffer, Eike, et al. "Analyzing the Impact of Object Distances, Surface Textures and lnterferences on the Image Quality of Low-Cost RGB-D Consumer Cameras for the Use in lndustrial Applications." Proceedings of the 7. WGP-Jahreskongress, Aachen Ed. Schuh, G.; Schmitt, R., Aachen: Apprimus Verlag, 2017. 215-221.

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