Fast Stereo Matching with Recursive Refinement and Depth Upsizingfor Estimation of High Resolution Depth

Wei Jong Yang, Hsing Ju Chou, Pau Choo Chung

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In this paper, a fast and precise stereo matching system, which is mainly composed of adaptive stereo matching, recursive refinement and depth upsizing subsystems, is proposed to estimate high resolution depth maps. The adaptive stereo matching subsys-tem, which adaptively uses color gradient, color intensity and texture census costs, can reduce the most of computation and achieve good primary depth maps. The recursive re-finement subsystem consists of median filtering, left-right check, hole filling, and bilat-eral filtering functions. The refinement subsystem is performed recursively to reduce the most errors occurred in occlusion regions such that we can obtain high-precision depth maps. Finally, the depth upsizing subsystem by referring original high-resolution images performs depth value upscaling, texture-selected interpolation, and weighted depth vot-ing processes to finally obtain the high-precision and high-resolution depth maps. To evaluate the proposed algorithms in three subsystems, the performances of the proposed stereo matching system are exhibited in step-by-step approaches. In comparison of the existing methods, the accuracy performance and computation time of the proposed stereo matching system are finally demonstrated. For future 3D ultra-high-resolution videos, the proposed stereo matching system with low computation will be a good solution to extract high-precision and high-resolution depth information.

Original languageEnglish
Pages (from-to)1379-1403
Number of pages25
JournalJournal of Information Science and Engineering
Issue number6
Publication statusPublished - 2021 Nov

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Hardware and Architecture
  • Library and Information Sciences
  • Computational Theory and Mathematics


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