Fuzzy Sets Based Improvement of a Stereo Matching Algorithm with Balanced Correlation Window and Occlusion Detection - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2010

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

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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Dates and versions

lirmm-00993594 , version 1 (20-05-2014)

Identifiers

  • HAL Id : lirmm-00993594 , version 1

Cite

Haythem Ghazouani, René Zapata, Tagina Moncef. Fuzzy Sets Based Improvement of a Stereo Matching Algorithm with Balanced Correlation Window and Occlusion Detection. IPCV'2010: International Conference on Image Processing, Computer Vision, and Pattern Recognition, Jul 2010, Las Vegas, Nevada, United States. pp.701-707. ⟨lirmm-00993594⟩
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