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7 September 2018 Stereo matching using adaptive windows and correlation filtering
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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.
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© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
José Enrique Hernández-Beltrán, Víctor H. Díaz-Ramírez, and Rigoberto Juarez-Salazar "Stereo matching using adaptive windows and correlation filtering ", Proc. SPIE 10751, Optics and Photonics for Information Processing XII, 1075102 (7 September 2018); https://doi.org/10.1117/12.2322043
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