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Real-Time Image Registration of RGB Webcams and Colorless 3D Time-of-Flight Cameras

  • Juan D. Gomez
  • Guido Bologna
  • Thierry Pun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7585)

Abstract

In line with the boom of 3D movies and cutting edge technologies, range cameras are increasingly common. Among others, time-of-flight (TOF) cameras give it the ability to capture three-dimensional images that reveal object’s distances. A shortcoming of these sensors however, lies in that the majority does not provide color information (not even gray). Therefore they are useless in computer vision applications for which color is crucial. The PMD [vision] ® CamCube 3.0 is one example of an expensive colorless TOF camera. In this work, we attempt the addition of color to this camera by means of inexpensive resources. A regular webcam is stuck on top of the CamCube and its color images are registered into the TOF distance maps. To get this done, we developed an algorithm to enable real-time registration based solely on depth. Thus, this algorithm requires neither intrinsic parameters nor mono-calibration of none of the cameras. We finally show a tracking application in which a stumble is foretold if an object approaches following a threatening trajectory.

Keywords

Color Image Distance Image Computer Vision Application Stereo Vision System Deep Plane 
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.

References

  1. 1.
    Bologna, G., Deville, B., Gomez, J., Pun, T.: Toward local and global perception modules for vision substitution. Neurocomputing 74(8), 1182–1190 (2010)CrossRefGoogle Scholar
  2. 2.
    Lucas, B., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proc. DARPA, Image Understanding Workshop (1981)Google Scholar
  3. 3.
    De-Maeztu, L., Mattoccia, S., Villanueva, A., Cabeza, R.: Linear stereo matching. In: Proc. ICCV, International Conference on Computer Vision (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Juan D. Gomez
    • 1
  • Guido Bologna
    • 1
  • Thierry Pun
    • 1
  1. 1.Computer Science DepartmentUniversity of GenevaSwitzerland

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