DocumentCode :
594752
Title :
Easy depth sensor calibration
Author :
Yamazoe, Hirotake ; Habe, Hitoshi ; Mitsugami, Ikuhisa ; Yagi, Yasushi
Author_Institution :
ISIR, Osaka Univ., Ibaraki, Japan
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
465
Lastpage :
468
Abstract :
This paper proposes a depth measurement error model of consumer depth cameras such as Microsoft KINECT, and its calibration method. These devices are originally designed for video game interface, thus, the obtained depth map are not enough accurate for 3D measurement. To decrease these depth errors, several models have been proposed, however, these models consider only camera-related parameters. Since the depth sensors are based on projector-camera systems, we should consider projector-related parameters. Therefore, we propose the error model of the consumer depth cameras especially the KINECT, considering both intrinsic parameters of the camera and the projector. To calibrate the error model, we also propose the parameter estimation method by only showing a planar board to the depth sensors. Our error model and its calibration are necessary step for using the KINECT as a 3D measuring device. Experimental results show the validity and effectiveness of the error model and its calibration.
Keywords :
cameras; computer games; computer vision; optical projectors; spatial variables measurement; user interfaces; 3D measuring device; KINECT; calibration method; camera intrinsic parameters; camera-related parameters; consumer depth cameras; consumer depth cameras error model; depth measurement error model; depth sensor calibration; depth sensors; planar board; projector-camera systems-based sensors; video game interface; Calibration; Cameras; Computer vision; Image color analysis; Mathematical model; Measurement uncertainty; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460172
Link To Document :
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