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Sensors 2012, 12(2), 1863-1884;

Parametric Dense Stereovision Implementation on a System-on Chip (SoC)

Electronics Department, University of Alcala, Alcalá de Henares, Madrid 28871, Spain
Higher Polytechnic Institute José Antonio Echeverría (CUJAE), La Habana, 19390, Cuba
Author to whom correspondence should be addressed.
Received: 12 January 2012 / Revised: 1 February 2012 / Accepted: 7 February 2012 / Published: 10 February 2012
(This article belongs to the Special Issue Microprocessors and System-on-Chip)
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This paper proposes a novel hardware implementation of a dense recovery of stereovision 3D measurements. Traditionally 3D stereo systems have imposed the maximum number of stereo correspondences, introducing a large restriction on artificial vision algorithms. The proposed system-on-chip (SoC) provides great performance and efficiency, with a scalable architecture available for many different situations, addressing real time processing of stereo image flow. Using double buffering techniques properly combined with pipelined processing, the use of reconfigurable hardware achieves a parametrisable SoC which gives the designer the opportunity to decide its right dimension and features. The proposed architecture does not need any external memory because the processing is done as image flow arrives. Our SoC provides 3D data directly without the storage of whole stereo images. Our goal is to obtain high processing speed while maintaining the accuracy of 3D data using minimum resources. Configurable parameters may be controlled by later/parallel stages of the vision algorithm executed on an embedded processor. Considering hardware FPGA clock of 100 MHz, image flows up to 50 frames per second (fps) of dense stereo maps of more than 30,000 depth points could be obtained considering 2 Mpix images, with a minimum initial latency. The implementation of computer vision algorithms on reconfigurable hardware, explicitly low level processing, opens up the prospect of its use in autonomous systems, and they can act as a coprocessor to reconstruct 3D images with high density information in real time. View Full-Text
Keywords: stereovision; reconfigurable hardware; correspondence; entropy; correlation; real-time processing stereovision; reconfigurable hardware; correspondence; entropy; correlation; real-time processing

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Gardel, A.; Montejo, P.; García, J.; Bravo, I.; Lázaro, J.L. Parametric Dense Stereovision Implementation on a System-on Chip (SoC). Sensors 2012, 12, 1863-1884.

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