Novel Stereo-Matching Method Utilizing Surface Normal Data

Euijeong Song, Seokjung Kim, Minho Chang

Research output: Contribution to journalArticle

Abstract

Stereo matching has a critical disadvantage in that 3D data acquired with this method is not accurate because only intensity data from the image can be utilized. Optimization processes such as belief propagation and graph cuts increase the robustness and accuracy of the 3D data, but these require significant computational power. We propose a novel method of stereo matching that utilizes surface normal data derived from the photometric stereo technique. We obtain an improved depth map without requiring additional optimization.

Original languageEnglish
JournalInternational Journal of Precision Engineering and Manufacturing
DOIs
Publication statusAccepted/In press - 2020 Jan 1

Keywords

  • Block transformation
  • Computer vision
  • Photometric stereo
  • Stereo matching
  • Surface normal data

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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