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Stereo matching using adaptive windows and correlation filtering
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Paper Abstract

Stereo matching is challenging due to the presence of perspective distortions and noise. Commonly, stereo matching algorithms utilize local matching techniques to determine the correspondence of two pixels of the same point in a scene. This work presents a stereo matching algorithm based on locally-adaptive windows and correlation filtering. The proposed algorithm estimates the disparity of each pixel by matching an adaptive sliding-window obtained from the left image in the right image of the stereo pair. Computer simulation results obtained with the proposed algorithm are analyzed and discussed by processing pairs of stereo images.

Paper Details

Date Published: 7 September 2018
PDF: 7 pages
Proc. SPIE 10751, Optics and Photonics for Information Processing XII, 1075102 (7 September 2018); doi: 10.1117/12.2322043
Show Author Affiliations
José Enrique Hernández-Beltrán, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Víctor H. Díaz-Ramírez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Rigoberto Juarez-Salazar, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)


Published in SPIE Proceedings Vol. 10751:
Optics and Photonics for Information Processing XII
Abdul A. S. Awwal; Khan M. Iftekharuddin; Mireya García Vázquez, Editor(s)

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