Fuzzy Sets Based Improvement of a Stereo Matching Algorithm with Balanced Correlation Window and Occlusion Detection

This paper presents an ameliorated version of the Zitnick and Kanade stereo algorithm. The novelties in our algorithm are the use of a balanced correlation window, the use of a new factor in the calculation of initial matching values which expresses the possibility of matching between two pixels and a new iterative function for the refinement of the initial matching values. Experimental results are evaluated on synthetic and real images and a comparison of our results to those of many state-of-the-art methods, using the ground truth data supplied by the University of Tsukuba, is presented.

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Field Value
Source IPCV'2010: International Conference on Image Processing, Computer Vision, and Pattern Recognition
Author Ghazouani, Haythem, Zapata, René, Moncef, Tagina
Maintainer CCSD
Last Updated May 5, 2026, 10:46 (UTC)
Created May 5, 2026, 10:46 (UTC)
Identifier lirmm-00993594
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
coverage Las Vegas, Nevada, United States
creator Ghazouani, Haythem
date 2010-07-12T00:00:00
harvest_object_id 001ce906-3091-4ca2-a742-d234cf31a2cf
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2023-07-05T00:00:00
set_spec type:COMM