Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/06A71739-08BE-46A4-99F7-C41C6C1639B9 | - |
| Αναγνωριστικό | https://ieeexplore.ieee.org/document/7504694/ | - |
| Αναγνωριστικό | https://doi.org/10.1109/VR.2016.7504694 | - |
| Γλώσσα | en | - |
| Μέγεθος | 8 pages | en |
| Τίτλος | Gaze prediction using machine learning for dynamic stereo manipulation in games | en |
| Δημιουργός | Koulieris Georgios-Alexandros | en |
| Δημιουργός | Κουλιερης Γεωργιος-Αλεξανδρος | el |
| Δημιουργός | Drettakis, George, 1965- | en |
| Δημιουργός | Cunningham Douglas W. | en |
| Δημιουργός | Mania Aikaterini | en |
| Δημιουργός | Μανια Αικατερινη | el |
| Εκδότης | Institute of Electrical and Electronics Engineers | en |
| Περίληψη | Comfortable, high-quality 3D stereo viewing is becoming a requirement for interactive applications today. Previous research shows that manipulating disparity can alleviate some of the discomfort caused by 3D stereo, but it is best to do this locally, around the object the user is gazing at. The main challenge is thus to develop a gaze predictor in the demanding context of real-time, heavily task-oriented applications such as games. Our key observation is that player actions are highly correlated with the present state of a game, encoded by game variables. Based on this, we train a classifier to learn these correlations using an eye-tracker which provides the ground-truth object being looked at. The classifier is used at runtime to predict object category - and thus gaze - during game play, based on the current state of game variables. We use this prediction to propose a dynamic disparity manipulation method, which provides rich and comfortable depth. We evaluate the quality of our gaze predictor numerically and experimentally, showing that it predicts gaze more accurately than previous approaches. A subjective rating study demonstrates that our localized disparity manipulation is preferred over previous methods. | en |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2018-10-02 | - |
| Ημερομηνία Δημοσίευσης | 2016 | - |
| Θεματική Κατηγορία | Gaze prediction | en |
| Θεματική Κατηγορία | Perception | en |
| Θεματική Κατηγορία | Stereo grading | en |
| Βιβλιογραφική Αναφορά | G. A. Koulieris, G. Drettakis, D. Cunningham and K. Mania, "Gaze prediction using machine learning for dynamic stereo manipulation in games," in 18th IEEE Virtual Reality Conference, 2016, pp. 113-120. doi: 10.1109/VR.2016.7504694 | en |
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