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

Alexey Ruchay; Konstantin Dorofeev; Anastasia Kober

doi:10.1117/12.2319911

17 September 2018 3D object reconstruction using multiple Kinect sensors and initial estimation of sensor parameters

Alexey Ruchay, Konstantin Dorofeev, Anastasia Kober

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 1075222 (2018) https://doi.org/10.1117/12.2319911
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

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.

Citation Download Citation

Alexey Ruchay, Konstantin Dorofeev, and Anastasia Kober "3D object reconstruction using multiple Kinect sensors and initial estimation of sensor parameters", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075222 (17 September 2018); https://doi.org/10.1117/12.2319911

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