Paper
25 August 2008 Design of the stereoscopic eye-tracking system for quantitative remote sensing applications
Author Affiliations +
Abstract
Spatial and temporal data derived from eye movements, compiled while the human eye observes geospatial imagery, retain meaningful and usable information. When human perceives the stereo effect, the virtual three dimensional (3D) model resulting from eye-brain interaction is generated in the mind. If the eye movements are recorded while the virtual model is observed, it is possible to reconstruct a 3D geometrical model almost identical to the one generated in the human brain. Information obtained from eye-movements can be utilized in many ways for remote sensing applications such as geospatial image analysis and interpretation. There are various eyetracking systems available on the market; however, none of them is designed to work with stereoscopic imagery. We explore different approaches and designs of the most suitable and non-intrusive scheme for stereoscopic image viewing in the eye-tracking systems to observe and analyze 3D visual models. The design of the proposed system is based on the optical separation method, which provides visually comfortable environment for perception of stereoscopic imagery. A proof of concept solution is based on multiple mirror-lens assembly that provides a significant reduction of geometrical constrains in eye-frame capturing. Two projected solutions: for wide-angle of viewing and helmet-integrated eye-tracker are also discussed here.
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Aleksandr Sergeyev, Eugene Levin, Michael C. Roggemann, and Gennady Gienko "Design of the stereoscopic eye-tracking system for quantitative remote sensing applications", Proc. SPIE 7087, Remote Sensing System Engineering, 70870J (25 August 2008); https://doi.org/10.1117/12.796424
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KEYWORDS
3D modeling

LCDs

Eye models

Eye

Systems modeling

Visualization

Calibration

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