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Accuracy and resolution of Kinect depth data for indoor mapping applications.

Kourosh Khoshelham1, Sander Oude Elberink

  • 1Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede 7514 AE, The Netherlands. khoshelham@itc.nl

Sensors (Basel, Switzerland)
|March 23, 2012
PubMed
Summary

Consumer-grade range cameras like the Kinect sensor can map environments, but their geometric accuracy varies. This study analyzes Kinect depth data accuracy and resolution, finding errors increase with distance due to low depth resolution.

Keywords:
RGB-Dcalibrationerror budgetimaginglaser scanningpoint cloudrange camerasensortriangulation

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Area of Science:

  • Computer Vision
  • Robotics
  • Sensor Technology

Background:

  • Consumer-grade range cameras offer potential for mapping applications with less stringent accuracy needs.
  • Understanding the geometric quality of sensor data is crucial for realizing this potential.

Purpose of the Study:

  • To calibrate the Kinect sensor.
  • To analyze the accuracy and resolution of its depth data.
  • To provide insight into factors influencing depth measurement accuracy.

Main Methods:

  • Calibration of the Kinect sensor.
  • Mathematical modeling of depth measurement from disparity.
  • Theoretical error analysis.
  • Experimental validation of depth measurement accuracy and resolution.

Main Results:

  • Random error in depth measurement increases with distance from the sensor.
  • Depth measurement error ranges from millimeters to approximately 4 cm at maximum sensor range.
  • Depth data quality is significantly influenced by the low resolution of the measurements.

Conclusions:

  • Kinect sensor depth data accuracy is limited, particularly at greater distances.
  • The sensor's low depth resolution impacts overall data quality for mapping.
  • Further research into sensor calibration and error analysis is essential for utilizing consumer-grade range cameras in mapping.