S. Clarkson et al., "Distortion Correction of Depth Data from Consumer Depth Cameras", in Proc. of 4th Int. Conf. on 3D Body Scanning Technologies, Long Beach CA, USA, 2013, pp. 426-437, https://doi.org/10.15221/13.426.
Title:
Distortion Correction of Depth Data from Consumer Depth Cameras
Authors:
Sean CLARKSON 1, Jon WHEAT 1, Ben HELLER 1, James WEBSTER 2, Simon CHOPPIN 1
1 Centre for Sports Engineering Research, Sheffield Hallam University, Sheffield, UK;
2 Oxylane Research, Villeneuve-d'Ascq, Lille, France
Abstract:
Since the introduction of the Microsoft Kinect in November 2010, low cost consumer depth cameras have rapidly increased in popularity. Their integral technology provides a means of low cost 3D scanning, extending its accessibility to a far wider audience. Previous work has shown the 3D data from consumer depth cameras to exhibit fundamental measurement errors: likely due to their low cost and original intended application. A number of techniques to correct the errors are presented in the literature, but are typically device specific, or rely on specific open source drivers. Presented here is a simple method of calibrating consumer depth cameras, relying only on 3D scans of a plane filling the field of view: thereby compatible with any device capable of providing 3D point cloud data. Validation of the technique using a Microsoft Kinect sensor has shown non planarity errors to reduce to around +-3mm: nearing the device's resolution. Further validation based on circumference measures of a cylindrical object has shown a variable error of up to 45mm to reduce to a systematic overestimation of 10mm, based on a 113mm diameter cylinder. Further work is required to test the proposed method on objects of greater complexity and over greater distances. However, this initial work suggests great potential for a simple method of reducing the error apparent in the 3D data from consumer depth cameras: possibly increasing their suitability for a number of applications.
Keywords:
Kinect, depth camera, distortion, non-planarity, calibration
Details:
Full paper: 13.426.pdf
Proceedings: 3DBST 2013, 19-20 Nov. 2013, Long Beach California, USA
Pages: 426-437
DOI: https://doi.org/10.15221/13.426
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