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BinEnergy

Agostino Gibaldi
Attachments
BinEnModel.png (21133 bytes)
complex_cell_eq.png (10426 bytes)
gabor_eq.png (23310 bytes)
population.png (21454 bytes)
- Overview and credits
- How to install
- Demo video
- Code explanation
- Binocular energy model
- Vergence control
- Control Evaluation

Binocular Energy Model

The released Vergence Control relies on a biologically-inspired architecture that exploits a population of cortical-like oriented binocular disparity detectors for efficient vergence control. The disparity detectors are build on the well know BINOCULAR ENERGY MODEL, which provides a computational model of the response of disparity senstitive neurons of V1 area.

BinEnModel

The response of each disparity detectors is built as by the squared response of a quadrature pair of Gabor filters. The filter design specifications can be found in this paper

The sensitivity to binocular disparity of different orientations across the image plane and of different magnitude is obtained designing a population of disparity detectors. Such population is designed with filters distributed acorss 8 orientations and 7 phase differences.

POPULATION


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