Symmetrical Epipolar Features Over Normalized Camera/Projector Calibration Matrices for Real-Time Structured Light Illumination

Kai Liu, Songlin Ying, Daniel L. Lau, Ce Zhu, Bin Xu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Structured light illumination is a 3D scanning technique based on projecting a series of striped patterns and reconstructing depth based on the observed warping of the pattern across the target surface. Extensively studied, real-time performance is of paramount importance in many applications. In this Letter, we build on prior researches with epipolar geometry to further simplify the computations of 3D point clouds, with the symmetrical epipolar features derived by extending epipolar geometry over normalized calibration matrices of the camera and projector. Experiments show that the proposed two new processes are of the same accuracy over the normalized calibration matrices with substantially fewer calculations.

Original languageEnglish
Pages (from-to)2268-2272
Number of pages5
JournalIEEE Signal Processing Letters
Volume29
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 1994-2012 IEEE.

Keywords

  • 3D reconstruction
  • active stereo vision
  • epipolar geometry
  • point clouds
  • structured light illumination

ASJC Scopus subject areas

  • Signal Processing
  • Applied Mathematics
  • Electrical and Electronic Engineering

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