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...
Bewaard in:
| Hoofdauteurs: | , , |
|---|---|
| Formaat: | Boek |
| Gepubliceerd in: |
Bern Open Publishing,
2017-11-01T00:00:00Z.
|
| Onderwerpen: | |
| Online toegang: | Connect to this object online. |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|
Internet
Connect to this object online.3rd Floor Main Library
| Plaatsingsnummer: |
A1234.567 |
|---|---|
| Kopie 1 | Beschikbaar |