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

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)377-391
Number of pages15
JournalTurkish Journal of Electrical Engineering and Computer Sciences
Volume27
Issue number1
DOIs
Publication statusPublished - 01-01-2019

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Fuzzy logic
Stereo vision
Cost functions
Costs
Pixels
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

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