Journal article
Gaze stabilization in active vision—II. Multi-rate vergence control
Pattern recognition, v 30(11), pp 1843-1853
01 Nov 1997
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Vergence error extraction and vergence servo control is important issues in gaze stabilization. In the previous paper, ‘Purposeful Gazing for Active Vision 1: Vergence Error Extraction’ [sic, 'Gaze stabilization in 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.
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Details
- Title
- Gaze stabilization in active vision—II. Multi-rate vergence control
- Creators
- Michael M. Marefat - University of ArizonaLiwei Wu - University of ArizonaChristopher C. Yang - University of Arizona
- Publication Details
- Pattern recognition, v 30(11), pp 1843-1853
- Publisher
- Elsevier
- Number of pages
- 11
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000071136400004
- Scopus ID
- 2-s2.0-0031271336
- Other Identifier
- 991021861110904721
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- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic