The Kinect was first launched on 4 November 2010 as an accessory for the Xbox360 console. Starting from the idea of creating a sensor that allows users to play without holding any controller, Microsoft Corporation developed the Kinect sensor. The videogame industry has been driven by a recent boost in the field of gesture recognition, to make the game experience for users more immersive and fun.
Experimental results show that the quality of the delivered model improved applying the proposed calibration procedure, which is applicable to both point clouds and the mesh model created with the Microsoft Fusion Libraries.ģD scene modeling, gesture recognition and motion tracking are active and quickly developing research sectors.
All the analyses presented here have been conducted for both generations of Kinect, in order to quantify the improvements that characterize every single imaging sensor. The mathematical model that describes the error committed by the sensor as a function of the distance between the sensor itself and the object has been estimated. This paper proposes a calibration of Kinect for Xbox One imaging sensors, focusing on the depth camera. In summer 2014, Microsoft launched a new generation of Kinect on the market, based on time-of-flight technology. Because of the complementary nature of the information provided, it has proved an attractive resource for researchers with very different backgrounds. The Microsoft Kinect sensor allows acquiring RGB, IR and depth images with a high frame rate. In recent years, the videogame industry has been characterized by a great boost in gesture recognition and motion tracking, following the increasing request of creating immersive game experiences.
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