Skip to main navigation Skip to search Skip to main content

3D extraction using DLT with one camera

  • Suchin Adhan
  • , Chuchart Pintavirooj
  • , Arthorn Sanpanich
  • King Mongkut's Institute of Technology Ladkrabang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a method for accurate measurement of a three-dimensional of an eye's pupil by combining local stereo images which are acquired from multiway. A calibrated mini CCD camera is used to capture the side-by-side image of one eye by two plane mirrors to create a reflection of the two directions of the eye at a time. The center of mass is used for two-dimensional coordinates of the center of the pupil. The new and simple technique to solve the problem of geometric distortion is proposed by taking advantage of the Direct Linear Transformation (DLT), which requires only a single step in the refinement stage without changing or reinstalling a camera. The DLT algorithm was used for the three-dimensional coordinates of the center of the pupils from the previous two-dimensional coordinates for the three-dimensional position of the eyes is detected. The results are the statistical errors only slight, mean = 0.16°, S.D. = 0.15°, which shows that the system is suitable for high-precision medical applications for the movement of the human eye.

Original languageEnglish
Title of host publicationBMEiCON 2013 - 6th Biomedical Engineering International Conference
DOIs
Publication statusPublished - 2013
Event6th Biomedical Engineering International Conference, BMEiCON 2013 - Krabi, Thailand
Duration: 23 Oct 2013 → 25 Oct 2013

Publication series

NameBMEiCON 2013 - 6th Biomedical Engineering International Conference

Conference

Conference6th Biomedical Engineering International Conference, BMEiCON 2013
Country/TerritoryThailand
CityKrabi
Period23/10/13 → 25/10/13

Keywords

  • 3D Extraction
  • Direct Linear Transformation

Fingerprint

Dive into the research topics of '3D extraction using DLT with one camera'. Together they form a unique fingerprint.

Cite this