On Calibration of a Low-Cost Time-of-Flight Camera

  • Alina Kuznetsova
  • Bodo Rosenhahn
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8925)


Time-of-flight (ToF) cameras are becoming more and more popular in computer vision. In many applications 3D information delivered by a ToF camera is used, and it is very important to know the camera’s extrinsic and intrinsic parameters, as well as precise depth information. A straightforward algorithm to calibrate a ToF camera is to use a standard color camera calibration procedure [12], on the amplitude images. However, depth information delivered by ToF cameras is known to contain complex bias due to several error sources [6]. Additionally, it is desirable in many cases to determine the pose of the ToF camera relative to the other sensors used.

In this work, we propose a method for joint color and ToF camera calibration, that determines extrinsic and intrinsic camera parameters and corrects depth bias. The calibration procedure requires a standard calibration board and around 20–30 images, as in case of a single color camera calibration. We evaluate the calibration quality in several experiments. The code for the calibration toolbox is made available online.


Depth Image Intrinsic Parameter Joint Optimization Color Camera Amplitude Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institut für Informationsverarbeitung (TNT)Leibniz University HannoverHannoverGermany

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