DocumentCode :
112946
Title :
Evaluating and Improving the Depth Accuracy of Kinect for Windows v2
Author :
Lin Yang ; Longyu Zhang ; Haiwei Dong ; Alelaiwi, Abdulhameed ; El Saddik, Abdulmotaleb
Author_Institution :
Multimedia Comput. Res. Lab., Univ. of Ottawa, Ottawa, ON, Canada
Volume :
15
Issue :
8
fYear :
2015
fDate :
Aug. 2015
Firstpage :
4275
Lastpage :
4285
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.
Keywords :
image sensors; spatial variables measurement; Kinect v2 depth sensor; Microsoft Kinect sensor; Windows v2; depth measurement; trilateration method; Accuracy; Cameras; Entropy; Equations; Noise; Sensors; Three-dimensional displays; Depth accuracy distribution; Kinect v2; depth entropy; depth resolution; multi-Kinect trilateration;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2015.2416651
Filename :
7067384
Link To Document :
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