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

Haythem Ghazouani 1 René Zapata 1 Tagina Moncef 2
1 SysMIC - Conception et Test de Systèmes MICroélectroniques
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : 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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Communication dans un congrès
Wold Academy of Science. IPCV'2010: International Conference on Image Processing, Computer Vision, and Pattern Recognition, Jul 2010, Las Vegas, Nevada, United States. CSREA Press, 2, pp.701-707, 2010, 〈http://www.world-academy-of-science.org/worldcomp10/ws/conferences/ipcv10〉
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Haythem Ghazouani, René Zapata, Tagina Moncef. Fuzzy Sets Based Improvement of a Stereo Matching Algorithm with Balanced Correlation Window and Occlusion Detection. Wold Academy of Science. IPCV'2010: International Conference on Image Processing, Computer Vision, and Pattern Recognition, Jul 2010, Las Vegas, Nevada, United States. CSREA Press, 2, pp.701-707, 2010, 〈http://www.world-academy-of-science.org/worldcomp10/ws/conferences/ipcv10〉. 〈lirmm-00993594〉

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