The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XXXIX-B5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B5, 175–180, 2012
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B5, 175–180, 2012

  27 Jul 2012

27 Jul 2012


J. C .K. Chow, K. D. Ang, D. D. Lichti, and W. F. Teskey J. C .K. Chow et al.
  • Department of Geomatics Engineering, University of Calgary, 2500 University Dr NW, Calgary, Alberta, T2N 1N4, Canada

Keywords: 3D camera, RGB-D, accuracy, calibration, biometrics

Abstract. Recent technological advancements have made active imaging sensors popular for 3D modelling and motion tracking. The 3D coordinates of signalised targets are traditionally estimated by matching conjugate points in overlapping images. Current 3D cameras can acquire point clouds at video frame rates from a single exposure station. In the area of 3D cameras, Microsoft and PrimeSense have collaborated and developed an active 3D camera based on the triangulation principle, known as the Kinect system. This off-the-shelf system costs less than $150 USD and has drawn a lot of attention from the robotics, computer vision, and photogrammetry disciplines. In this paper, the prospect of using the Kinect system for precise engineering applications was evaluated. The geometric quality of the Kinect system as a function of the scene (i.e. variation of depth, ambient light conditions, incidence angle, and object reflectivity) and the sensor (i.e. warm-up time and distance averaging) were analysed quantitatively. This system's potential in human body measurements was tested against a laser scanner and 3D range camera. A new calibration model for simultaneously determining the exterior orientation parameters, interior orientation parameters, boresight angles, leverarm, and object space features parameters was developed and the effectiveness of this calibration approach was explored.