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3D object reconstruction using multiple Kinect sensors and initial estimation of sensor parameters
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Paper Abstract

In this paper, we reconstruct 3D object shape using multiple Kinect sensors. First, we capture RGB-D data from Kinect sensors and estimate intrinsic parameters of each Kinect sensor. Second, calibration procedure is utilized to provide an initial rough estimation of the sensor poses. Next, extrinsic parameters are estimated using an initial rigid transformation matrix in the Iterative Closest Point (ICP) algorithm. Finally, a fusion of calibrated data from Kinect sensors is performed. Experimental reconstruction results using Kinect V2 sensors are presented and analyzed in terms of the reconstruction accuracy.

Paper Details

Date Published: 17 September 2018
PDF: 8 pages
Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075222 (17 September 2018); doi: 10.1117/12.2319911
Show Author Affiliations
Alexey Ruchay, Federal Research Ctr. of Biological Systems and Agro-Technologies (Russian Federation)
Chelyabinsk State Univ. (Russian Federation)
Konstantin Dorofeev, Chelyabinsk State Univ. (Russian Federation)
Anastasia Kober, Federal Research Ctr. of Biological Systems and Agro-Technologies (Russian Federation)


Published in SPIE Proceedings Vol. 10752:
Applications of Digital Image Processing XLI
Andrew G. Tescher, Editor(s)

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