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Probabilistic Approach to Robust Wearable Gaze Tracking
This paper presents a method for computing the gaze point using camera data captured with a wearable gaze tracking device. The method utilizes a physical model of the human eye, advanced Bayesian computer vision algorithms, and Kalman filtering, resulting in high accuracy and low noise. Our C++ impl...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Bern Open Publishing
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141069/ https://www.ncbi.nlm.nih.gov/pubmed/33828662 http://dx.doi.org/10.16910/jemr.10.4.2 |