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Computer Science > Multimedia

arXiv:2212.13844 (cs)
[Submitted on 25 Dec 2022]

Title:Evaluating and Improving the Depth Accuracy of Kinect for Windows v2

Authors:Lin Yang, Longyu Zhang, Haiwei Dong, Abdulhameed Alelaiwi, Abdulmotaleb El Saddik
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Abstract:Microsoft Kinect sensor has been widely used in many applications since the launch of its first version. Recently, Microsoft released a new version of Kinect sensor with improved hardware. However, the accuracy assessment of the sensor remains to be answered. In this paper, we measure the depth accuracy of the newly released Kinect v2 depth sensor, and obtain a cone model to illustrate its accuracy distribution. We then evaluate the variance of the captured depth values by depth entropy. In addition, we propose a trilateration method to improve the depth accuracy with multiple Kinects simultaneously. The experimental results are provided to ascertain the proposed model and method.
Subjects: Multimedia (cs.MM)
Cite as: arXiv:2212.13844 [cs.MM]
  (or arXiv:2212.13844v1 [cs.MM] for this version)
  https://doi.org/10.48550/arXiv.2212.13844
Journal reference: IEEE Sensors Journal, vol. 15, no. 8, pp. 4275-4285, 2015
Related DOI: https://doi.org/10.1109/JSEN.2015.2416651

Submission history

From: Haiwei Dong [view email]
[v1] Sun, 25 Dec 2022 19:11:02 UTC (18,210 KB)
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