23 research outputs found

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

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    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.The Russian Science Foundation (project #17-76-20045) financially supported the work

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

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    Основная ΡΡ‚Π°Ρ‚ΡŒΡ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 its the depth data. Next, the precision of coordinate mapping between sensors data for registration of depth and color images is evaluated. We test a system with four Kinect V2 sensors and present reconstruction accuracy results. Experiments and computer simulation are carried out using Matlab and Kinect V2
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