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A 3D reconstruction from real-time stereoscopic images using GPU

Abstract : In this article we propose a new technique to obtain a three-dimensional (3D) reconstruction from stereoscopic images taken by a stereoscopic system in real-time. To parallelize the 3D reconstruction we propose a method that uses a Graphics Processors Unit (GPU) and a disparity map from block matching algorithm (BM). The results obtained permit us to accelerate the images processing time, measured in frames per second (FPS) with respect to the same method using a Central Processing Unit (CPU). The advantage of speed using GPU advocates our system for practical applications such as aerial reconnaissance, cartography, robotic navigation and obstacle detection.
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Contributor : Jose-Ernesto Gomez-Balderas <>
Submitted on : Wednesday, October 30, 2013 - 3:36:15 PM
Last modification on : Thursday, July 9, 2020 - 5:02:04 PM
Long-term archiving on: : Friday, January 31, 2014 - 9:30:25 AM


  • HAL Id : hal-00878683, version 1


Jose-Ernesto Gomez-Balderas, Dominique Houzet. A 3D reconstruction from real-time stereoscopic images using GPU. 2013 Conference on Design and Architectures for Signal and Image Processing (DASIP 2013), Oct 2013, Cagliari, Italy. pp.253-258. ⟨hal-00878683⟩



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