Gaze stabilization in active vision - II. Multi-rate vergence control

Michael M. Marefat, Liwei Wu, Christopher C. Yang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Vergence error extraction and vergence servo control is important issues in gaze stabilization. In the previous paper, "Purposeful Gazing for Active Vision I: Vergence Error Extraction", we have discussed the techniques in fixation point selection and the phase-based vergence disparity extraction algorithm. In this paper, we introduce a feedback information prediction and dynamic vision-based self-tuning control strategy to achieve vergence control. This strategy reflects the nature and function of visual processing involved in vergence control loop and tends to correct some confusion in existing vision-based control system development.

Original languageEnglish (US)
Pages (from-to)1843-1853
Number of pages11
JournalPattern Recognition
Volume30
Issue number11
DOIs
StatePublished - Nov 1997

Keywords

  • Active vision
  • Gaze
  • Purposeful gazing
  • Stabilization
  • Vergence
  • Vision-based dynamic control

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Gaze stabilization in active vision - II. Multi-rate vergence control'. Together they form a unique fingerprint.

Cite this