Fuzzy logic-based disparity selection using multiple data costs for stereo correspondence

Shetty, Akhil Appu and George, V I and Nayak, Gurudas C and Shetty, Raviraj (2019) Fuzzy logic-based disparity selection using multiple data costs for stereo correspondence. Turkish Journal of Electrical Engineering and Computer Sciences, 27 (1). pp. 377-391. ISSN 1300-0632

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Stereo matching algorithms are capable of generating depth maps from two images of the same scene taken simultaneously from two different viewpoints. Traditionally, a single cost function is used to calculate the disparity between corresponding pixels in the left and right images. In the present research, we have considered a combination of simple data costs. A new method to combine multiple data costs is presented and a fuzzy-based disparity selection method is proposed. Experiments with different combinations of parameters are conducted and compared through the Middlebury and Kitti Stereo Vision Benchmark

Item Type: Article
Uncontrolled Keywords: Fuzzy logic, stereo matching, mutual information, normalized cross-correlation, Middlebury stereo dataset, Kitti stereo dataset
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 19 Feb 2019 08:05
Last Modified: 09 Mar 2019 04:15
URI: http://eprints.manipal.edu/id/eprint/153293

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