Distortion correction of depth data from consumer depth cameras

CLARKSON, Sean, WHEAT, Jonathan, HELLER, Ben, WEBSTER, J and CHOPPIN, Simon (2013). Distortion correction of depth data from consumer depth cameras. In: 3D Body Scanning Conference, Los Angeles, November.

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    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.

    Item Type: Conference or Workshop Item (Paper)
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Centre for Sports Engineering Research
    Depositing User: Carole Harris
    Date Deposited: 18 Feb 2014 16:59
    Last Modified: 13 Jun 2017 13:14
    URI: http://shura.shu.ac.uk/id/eprint/7749

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