Development of an optical 3D human face reconstruction system using moving-window method

Yau Zen Chang*, Zhi Ren Tsai, Shih Tseng Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper introduces a stereo vision system for rapid and accurate geometry acquisition of human faces. A moving-window algorithm is proposed to enhance the consistency in searching for corresponding locations on images captured from different views. Effectiveness of the approach is demonstrated by a comparison of correctness with two of the most popular algorithms, the Scale Invariant Feature Transform (SIFT) and the Phase-Only Correlation method.

Original languageEnglish
Title of host publicationSICE 2011 - SICE Annual Conference 2011, Final Program and Abstracts
PublisherSociety of Instrument and Control Engineers (SICE)
Pages1140-1142
Number of pages3
ISBN (Print)9784907764395
StatePublished - 2011
Event50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011 - Tokyo, Japan
Duration: 13 09 201118 09 2011

Publication series

NameProceedings of the SICE Annual Conference

Conference

Conference50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011
Country/TerritoryJapan
CityTokyo
Period13/09/1118/09/11

Keywords

  • 3D vision
  • Human face geometry reconstruction
  • Structured light

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