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