Asynchronous Event-Based Hebbian Epipolar Geometry

  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},
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
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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

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