This article is cited in 27 papers

IMAGE PROCESSING, PATTERN RECOGNITION

Fusion of information from multiple Kinect sensors for 3D object reconstruction

A. N. Ruchay^ab, K. A. Dorofeev^b, V. I. Kolpakov<sup>a

a</sup> Federal Research Centre of Biological Systems and Agro-technologies of the Russian Academy of Sciences, Orenburg, Russia
^b Department of Mathematics, Chelyabinsk State University, Chelyabinsk, Russia

Abstract: In this paper, we estimate the accuracy of 3D object reconstruction using multiple Kinect sensors. First, we discuss the calibration of multiple Kinect sensors, and provide an analysis of the accuracy and resolution of the depth data. Next, the precision of coordinate mapping between sensors data for registration of depth and color images is evaluated. We test a proposed system for 3D object reconstruction with four Kinect V2 sensors and present reconstruction accuracy results. Experiments and computer simulation are carried out using Matlab and Kinect V2.

Keywords: multiple sensors, Kinect, 3D object reconstruction, fusion.


Accepted: 21.09.2018

Language: English

DOI: 10.18287/2412-6179-2018-42-5-898-903