Point to point calibration method of structured light for facial data reconstruction

Dongjoe Shin, Jaihie Kim

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

Since the calibrating point pairs of a structured light are not easy to obtain, most previous work on calibration is related to the uncalibrating method. This paper proposed a new method for determining a set of 3D to 2D point pairs for the offline calibration of structured light system focused on 3D facial data acquisition for the recognition. The set of point pairs is simply determined based on epipolar geometry between a camera and structured light plane, and a structured light calibrating pattern. The structured light calibrating process is classified into two stages: the 3D point data acquisition stage and the corresponding 2D data acquisition stage. After point pairs are prepared, the Levenberg-Marquardt (LM) Algorithm is applied. Euclidian reconstruction can be achieved simply using a triangulation, and experimental results from simulation are presented.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsDavid Zhang, Anil K. Jain
PublisherSpringer Verlag
Pages200-206
Number of pages7
ISBN (Print)3540221468, 9783540221463
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3072
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Shin, D., & Kim, J. (2004). Point to point calibration method of structured light for facial data reconstruction. In D. Zhang, & A. K. Jain (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 200-206). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3072). Springer Verlag. https://doi.org/10.1007/978-3-540-25948-0_28