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Medientyp:
E-Artikel
Titel:
High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking Methods
Beteiligte:
Narcizo, Fabricio Batista;
dos Santos, Fernando Eustáquio Dantas;
Hansen, Dan Witzner
Erschienen:
MDPI AG, 2021
Erschienen in:
Vision, 5 (2021) 3, Seite 41
Sprache:
Englisch
DOI:
10.3390/vision5030041
ISSN:
2411-5150
Entstehung:
Anmerkungen:
Beschreibung:
This study investigates the influence of the eye-camera location associated with the accuracy and precision of interpolation-based eye-tracking methods. Several factors can negatively influence gaze estimation methods when building a commercial or off-the-shelf eye tracker device, including the eye-camera location in uncalibrated setups. Our experiments show that the eye-camera location combined with the non-coplanarity of the eye plane deforms the eye feature distribution when the eye-camera is far from the eye’s optical axis. This paper proposes geometric transformation methods to reshape the eye feature distribution based on the virtual alignment of the eye-camera in the center of the eye’s optical axis. The data analysis uses eye-tracking data from a simulated environment and an experiment with 83 volunteer participants (55 males and 28 females). We evaluate the improvements achieved with the proposed methods using Gaussian analysis, which defines a range for high-accuracy gaze estimation between −0.5∘ and 0.5∘. Compared to traditional polynomial-based and homography-based gaze estimation methods, the proposed methods increase the number of gaze estimations in the high-accuracy range.