Asynchronous Event-Based Hebbian Epipolar Geometry

@article{Benosman2011AsynchronousEH,
  title={Asynchronous Event-Based Hebbian Epipolar Geometry},
  author={Ryad B. Benosman and Sio-Hoi Ieng and Paul Rogister and Christoph Posch},
  journal={IEEE Transactions on Neural Networks},
  year={2011},
  volume={22},
  pages={1723-1734}
}
Epipolar geometry, the cornerstone of perspective stereo vision, has been studied extensively since the advent of computer vision. Establishing such a geometric constraint is of primary importance, as it allows the recovery of the 3-D structure of scenes. Estimating the epipolar constraints of nonperspective stereo is difficult, they can no longer be defined because of the complexity of the sensor geometry. This paper will show that these limitations are, to some extent, a consequence of the… CONTINUE READING
Highly Cited
This paper has 71 citations. REVIEW CITATIONS
29 Citations
42 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 29 extracted citations

71 Citations

01020'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 71 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 42 references

CAVIAR: A 45 k neuron, 5 M synapse, 12 G connects/s AER hardware sensory-processing-learning-actuating system for highspeed visual object recognition and tracking

  • R. Serrano-Gotarredona, M. Oster, +12 authors A. Civit
  • IEEE Trans. Neural Netw., vol. 20, no. 9, pp…
  • 2009

Similar Papers

Loading similar papers…