Near-infrared composite pattern projection for continuous motion hand-computer interaction

Chun Guan, Laurence G. Hassebrook, Daniel L. Lau, Veeraganesh Yalla

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Traditional structured light techniques require multiple patterns to be projected onto a scene and captured for three-dimensional (3D) reconstruction without ambiguity and resistance to variation of albedo. However, multi-pattern techniques can be corrupted by the object movement during the sequential projection. We have introduced a single projected pattern which efficiently combines multiple patterns into a single composite pattern projection-allowing for video rate three-dimensional data acquisition. Attaining low cost 3D video acquisition would have a profound impact on applications such as human-computer interaction and assistive technology. So far the composite pattern technique has only been performed with visible light which would cause user annoyances for these applications. To solve the problem, we use near-infrared to project the pattern. But this raises another more general issue of spatial skin response. In this study, near-infrared illumination is used for imperceptible measurement of hand pose. In particular, we are studying continuous motion depth acquisition for tracking hand motion and rotation as an interface to a virtual reality. Applications include advanced cockpit controls and computer interfacing for the disabled.

Original languageEnglish
Pages (from-to)141-150
Number of pages10
JournalJournal of Visual Communication and Image Representation
Volume18
Issue number2
DOIs
StatePublished - Apr 2007

Bibliographical note

Funding Information:
Partial funding for this research was provided by a NASA EPSCoR cooperative agreement through Western Kentucky University with proposal number WKURF 596183-03-07.

Keywords

  • 3D data acquisition
  • Augmented reality
  • Human-computer interaction
  • Structured light
  • Virtual reality

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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