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Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications

Sensors · 2012 · Vol. 12(2) · pp. 1437–1454
Kourosh KhoshelhamSander Oude Elberink

Abstract

Consumer-grade range cameras such as the Kinect sensor have the potential to be used in mapping applications where accuracy requirements are less strict. To realize this potential insight into the geometric quality of the data acquired by the sensor is essential. In this paper we discuss the calibration of the Kinect sensor, and provide an analysis of the accuracy and resolution of its depth data. Based on a mathematical model of depth measurement from disparity a theoretical error analysis is presented, which provides an insight into the factors influencing the accuracy of the data. Experimental results show that the random error of depth measurement increases with increasing distance to the sensor, and ranges from a few millimeters up to about 4 cm at the maximum range of the sensor. The quality of the data is also found to be influenced by the low resolution of the depth measurements.

Robotics and Sensor-Based LocalizationOptical measurement and interference techniques3D Surveying and Cultural HeritageRange (aeronautics)Resolution (logic)CalibrationComputer scienceComputer visionAccuracy and precisionArtificial intelligenceObservational errorMeasured depthRemote sensing

MeSH terms

Equipment DesignHousingImage Interpretation, Computer-AssistedMaps as TopicPattern Recognition, AutomatedRadarTransducersEquipment Failure AnalysisGeographic Information Systems
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References
A method for registration of 3-D shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1992 · 17,826 citations
Random sample consensus
Communications of the ACM · 1981 · 25,051 citations
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Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications · Scinovex