An approach to distance estimation with stereo vision using address-event-representation

  • Authors:

  • M. Domínguez-Morales;A. Jimenez-Fernandez;R. Paz;M. R. López-Torres;E. Cerezuela-Escudero;A. Linares-Barranco;G. Jimenez-Moreno;A. Morgado

  • Affiliations:

  • Robotic and Technology of Computers Lab, University of Seville, Spain;Robotic and Technology of Computers Lab, University of Seville, Spain;Robotic and Technology of Computers Lab, University of Seville, Spain;Robotic and Technology of Computers Lab, University of Seville, Spain;Robotic and Technology of Computers Lab, University of Seville, Spain;Robotic and Technology of Computers Lab, University of Seville, Spain;Robotic and Technology of Computers Lab, University of Seville, Spain;Electronic Technology Department, University of Cadiz, Spain

  • Venue:
  • ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
  • Year:
  • 2011

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Abstract

Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted at a rate of 25-30 fps (typical real-time scenario). Digital video processing has to process each frame in order to obtain a result or detect a feature. In stereo vision, existing algorithms used for distance estimation use frames from two digital cameras and process them pixel by pixel to obtain similarities and differences from both frames; after that, depending on the scene and the features extracted, an estimate of the distance of the different objects of the scene is calculated. Spike-based processing is a relatively new approach that implements the processing by manipulating spikes one by one at the time they are transmitted, like a human brain. The mammal nervous system is able to solve much more complex problems, such as visual recognition by manipulating neuron spikes. The spike-based philosophy for visual information processing based on the neuro-inspired Address-Event-Representation (AER) is achieving nowadays very high performances. In this work we propose a two-DVS-retina system, composed of other elements in a chain, which allow us to obtain a distance estimation of the moving objects in a close environment. We will analyze each element of this chain and propose a Multi Hold&Fire algorithm that obtains the differences between both retinas.