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

Akhil Appu Shetty, Vadakekara Itty George, C. Gurudas Nayak, Raviraj Shetty

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


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
Issue number1
Publication statusPublished - 01-01-2019

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Electrical and Electronic Engineering


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