Abstract

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. The Microsoft Kinect sensor allows acquiring RGB, IR and depth images with a high frame rate. Because of the complementary nature of the information provided, it has proved an attractive resource for researchers with very different backgrounds. In summer 2014, Microsoft launched a new generation of Kinect on the market, based on time-of-flight technology. This paper proposes a calibration of Kinect for Xbox One imaging sensors, focusing on the depth camera. 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. 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. 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.

Highlights

  • 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

  • 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

  • In order to compute the camera intrinsics, the PhotoModeler® Camera Calibration tool requires some initial guess to be used to scale the problem; usually this data are extracted from the EXIF file, but the images delivered by the Kinect lack this information

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Summary

Introduction

On 16 June 2011, the official Microsoft SDK was released This gaming control device has had large success in various fields because it extends the technology of depth cameras to low-budget projects. The Kinect is a low-cost sensor, originally created to be a gaming control device. For this reason it is fundamental to investigate its accuracy and precision, in order to define the expected quality of the measurement as a function of the distance between the frame object and the sensor itself. This sensor has been advertised to offer great advantages over Kinect for Xbox360, so it is important to quantify this improvement in resolution

The Two Generation of Kinect Sensors
Geometric Calibration of the Optical Sensors
RGB and IR Camera Calibration
Image Sensors Precision
Depth Image Distortion Correction
Depth Measurement Accuracy
Depth Measurement Precision
Test with Fusion Libraries
Conclusions

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