Accuracy analysis of kinect depth data

By Kourosh Khoshelham, Derek D. Lichti, Adnane Habib. 2012

503 citations recorded by the source corpus.

Abstract. This paper presents an investigation of the geometric quality of depth data obtained by the Kinect sensor. Based on the mathematical model of depth measurement by the sensor 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 millimetres up to about 4 cm at the maximum range of the sensor. The accuracy of the data is also found to be influenced by the low resolution of the depth measurements.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/e988f7ad852cc0918b521431d0ec9e0e792bde2a

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In Aerospace Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

Evaluating and Improving the Depth Accuracy of Kinect for Windows v2 (2015, background): “into the factors affecting the accuracy of the data [11], [12].”
When Can We Use KinectFusion for Ground Truth Acquisition (2012, methodology): “(An evaluation of the Kinect sensor accuracy itself has been performed by [14].”
3D with Kinect (2011, result): “Our results are in accordance with [10] where compatible observations about Kinect depth quantization were mentioned.”
Body Surface Context: A New Robust Feature for Action Recognition From Depth Videos (2014, background): “(xd , yd) in the depth image can be converted to the 3-D real-world coordinates (xr, yr, zr), whose unit is meter, by estimating some calibration parameters [11].”