SGaze : A Data-Driven Eye-Head Coordination Model for Realtime Gaze Prediction
We present a novel, data-driven eye-head coordination model that can be used for realtime gaze prediction for immersive HMD-based applications without any external hardware or eye tracker. Our model (SGaze) is computed by generating a large dataset that corresponds to different users navigating in v...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 25(2019), 5 vom: 18. Mai, Seite 2002-2010
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| 1. Verfasser: |
Hu, Zhiming
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Congyi,
Li, Sheng,
Wang, Guoping,
Manocha, Dinesh |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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