Journal article
Gaze stabilization in active vision—I. Vergence error extraction
Pattern recognition, v 30(11), pp 1829-1842
01 Nov 1997
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper discusses the problems associated with purposeful gazing and fixation of attention for systems with active vision. To help bridge the gap between our current standpoint in active gazing and where advantages that holding gaze brings, we propose solution to the important problems involved in gaze stabilization, i.e. vergence error extraction, and vergence servo control. In the first part, we focus on vergence error extraction. In the next paper, ‘Gaze Stabilization in Active Vision II: Multi-rate Vergence Control’, we shall focus on vergence control. Binocular gazing is realized by decreasing the disparity which represents the vergence error. In order to obtain the disparity for extraction of vergence error, a phase-based approach that efficiently estimates vergence disparity is developed. Experiments are conducted to investigate the effects of window size, segmentation techniques, and illumination.
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Details
- Title
- Gaze stabilization in active vision—I. Vergence error extraction
- Creators
- Michael M. Marefat - University of ArizonaLiwei Wu - University of ArizonaChristopher C. Yang - University of Arizona
- Publication Details
- Pattern recognition, v 30(11), pp 1829-1842
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000071136400003
- Scopus ID
- 2-s2.0-0031271301
- Other Identifier
- 991021855281704721
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- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic