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Production de carte dense de disparité dans un contexte industriel par stéréo-corrélation d'images sur deux noyaux mono-directionnels

Abstract : Many applications of three-dimensional localization are emerging in the industrial field and the stereo vision is a technology solution attractive by its mechanical simplicity. Two static cameras placed at strategic locations may be sufficient to address this problem. Production of dense disparity map is a component of the stereo vision that provides depth information of objects in the scene. In this paper, we present a fast method of stereo correlation. We show the limits of the use of a squared correlation kernel and propose an alternative production of two dense disparity maps from two unidirectional kernels. We evaluate our performance with a comparison of our results with those obtained from the public library OpenCV.
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https://hal.inria.fr/inria-00610518
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Submitted on : Friday, July 22, 2011 - 11:36:49 AM
Last modification on : Wednesday, March 2, 2022 - 10:10:07 AM
Long-term archiving on: : Monday, November 7, 2011 - 12:23:09 PM

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  • HAL Id : inria-00610518, version 1

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Jimmy Pelcat, Sebastien Kramm, Abdelaziz Bensrhair. Production de carte dense de disparité dans un contexte industriel par stéréo-corrélation d'images sur deux noyaux mono-directionnels. ORASIS - Congrès des jeunes chercheurs en vision par ordinateur, INRIA Grenoble Rhône-Alpes, Jun 2011, Praz-sur-Arly, France. ⟨inria-00610518⟩

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