by Yang, S, Chan, YH, Gong, R, Nguyen, M, Gastelum, A, Delmas, P, Gimel’farb, G and Ababou, R
Abstract:
We investigated calibration procedures of multiple Kinect sensors simultaneously. Through standard calibration algorithms our multi-Kinect system is accurately registered. We propose and implemented a multi-Kinect system to seamlessly render a scene from a wide range of angles. Such a system is capable of real-time operation. We also investigated the problem of inconsistent depth measurement between different Kinect units, and arrived at the same conclusion as the state-of-the-art regarding the characteristics of depth measurement errors in the Kinect sensor. In order to compensate these errors for live acquisition and display of multi-Kinect systems, we introduced an offline ICP calibration of multiple Kinect data. Our experimental results provide a robust way to properly align multiple Kinect data.
Reference:
Multi-Kinect scene reconstruction: Calibration and depth inconsistencies (Yang, S, Chan, YH, Gong, R, Nguyen, M, Gastelum, A, Delmas, P, Gimel’farb, G and Ababou, R), In , IEEE, 2013.
Bibtex Entry:
@inproceedings{yang2013multikinectinconsistencies,
author = {Yang, S and Chan, YH and Gong, R and Nguyen, M and Gastelum, A and Delmas, P and Gimel'farb, G and Ababou, R},
booktitle = {},
month = {Nov},
organization = {Wellington},
pages = {47--52},
publisher = {IEEE},
title = {Multi-Kinect scene reconstruction: Calibration and depth inconsistencies},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6726991},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6726991},
year = {2013},
abstract = {We investigated calibration procedures of multiple Kinect sensors simultaneously. Through standard calibration algorithms our multi-Kinect system is accurately registered. We propose and implemented a multi-Kinect system to seamlessly render a scene from a wide range of angles. Such a system is capable of real-time operation. We also investigated the problem of inconsistent depth measurement between different Kinect units, and arrived at the same conclusion as the state-of-the-art regarding the characteristics of depth measurement errors in the Kinect sensor. In order to compensate these errors for live acquisition and display of multi-Kinect systems, we introduced an offline ICP calibration of multiple Kinect data. Our experimental results provide a robust way to properly align multiple Kinect data.},
startyear = {2013},
startmonth = {Nov},
startday = {27},
finishyear = {2013},
finishmonth = {Nov},
finishday = {29},
issn = {2151-2191},
conference = {International Conference on Image and Vision Computing New Zealand (IVCNZ 2013)},
day = {27},
}