Superpixel smoothing for disparity refinement in stereo matching

Chun Yi Sung, Yu Wen Tseng, Chin Hsing Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stereo matching algorithms are mainly divided into two classes, local algorithm and global algorithm. Most local algorithms consist of four stages, initial cost computation, cost aggregation, disparity computation, and refinement. In this paper, we propose a method to enhance the disparity accuracy at regions near depth discontinuities. In the refinement stage, following the traditional Left-Right Consistency check, we classify each pixel by using superpixel segmentation. We then detect and correct outliers in superpixels. The experiments show that the disparity map generated by the proposed superpixel smoothing in the refinement stage is smoother than other existing methods.

Original languageEnglish
Title of host publicationProceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-53
Number of pages4
ISBN (Electronic)9781538670361
DOIs
Publication statusPublished - 2019 Feb 19
Event4th International Symposium on Computer, Consumer and Control, IS3C 2018 - Taichung, Taiwan
Duration: 2018 Dec 62018 Dec 8

Publication series

NameProceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018

Conference

Conference4th International Symposium on Computer, Consumer and Control, IS3C 2018
CountryTaiwan
CityTaichung
Period18-12-0618-12-08

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Computer Science Applications
  • Control and Optimization
  • Signal Processing

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