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Smart Cameras pp 137-157 | Cite as

Embedded Stereo Vision

  • Kristian Ambrosch
  • Martin Humenberger
  • Sven Olufs
  • Stephan Schraml
Chapter

Abstract

In the last few years, stereo vision has become a very interesting sensing technology for robotic platforms. Especially for indoor applications, stereo vision brings many advantages. It is passive, so it does not affect its environment, it is small in size, and it is very flexible. In this chapter, the possibilities of integrating stereo vision into smart cameras are explained. Stereo vision may involve a high algorithmic and computational effort, therefore not all stereo vision algorithms are suitable for real-time applications. This chapter gives a detailed description of two real-time stereo vision algorithms and presents possibilities to implement these concepts in a smart camera. Furthermore, it presents stereo vision using biologically inspired vision sensors for the depth estimation of scene dynamics.

Keywords

Vision Sensor Stereo Vision Stereo Match Epipolar Line Address Event 
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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Notes

Acknowledgments

The research leading to these results has received funding from the European Community’s Sixth Framework Programme (FP6/2003-2006) under grant agreement no. FP6-2006-IST-6-045350 (robots@home).

Copyright information

© Springer-Verlag US 2009

Authors and Affiliations

  • Kristian Ambrosch
    • 1
  • Martin Humenberger
    • 1
  • Sven Olufs
    • 2
  • Stephan Schraml
    • 3
  1. 1.Safe and Autonomous Systems, Safety & Security DepartmentAIT Austrian Institute of TechnologyViennaAustria
  2. 2.Automation and Control Institute, Vienna University of TechnologyViennaAustria
  3. 3.Neuroinformatics, Safety & Security DepartmentAIT Austrian Institute of TechnologyViennaAustria

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