Interactive Holographic Visualization for 3D Facial Avatar
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866929711666429952 |
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| author | Nguyen, Tri Tung Nguyen Yasuyuki, Fujii Tran, Dinh Tuan Lee, Joo-Ho |
| author_facet | Nguyen, Tri Tung Nguyen Yasuyuki, Fujii Tran, Dinh Tuan Lee, Joo-Ho |
| contents | Traditional methods for visualizing dynamic human expressions, particularly in medical training, often rely on flat-screen displays or static mannequins, which have proven inefficient for realistic simulation. In response, we propose a platform that leverages a 3D interactive facial avatar capable of displaying non-verbal feedback, including pain signals. This avatar is projected onto a stereoscopic, view-dependent 3D display, offering a more immersive and realistic simulated patient experience for pain assessment practice. However, there is no existing solution that dynamically predicts and projects interactive 3D facial avatars in real-time. To overcome this, we emphasize the need for a 3D display projection system that can project the facial avatar holographically, allowing users to interact with the avatar from any viewpoint. By incorporating 3D Gaussian Splatting (3DGS) and real-time view-dependent calibration, we significantly improve the training environment for accurate pain recognition and assessment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_08085 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Interactive Holographic Visualization for 3D Facial Avatar Nguyen, Tri Tung Nguyen Yasuyuki, Fujii Tran, Dinh Tuan Lee, Joo-Ho Graphics Traditional methods for visualizing dynamic human expressions, particularly in medical training, often rely on flat-screen displays or static mannequins, which have proven inefficient for realistic simulation. In response, we propose a platform that leverages a 3D interactive facial avatar capable of displaying non-verbal feedback, including pain signals. This avatar is projected onto a stereoscopic, view-dependent 3D display, offering a more immersive and realistic simulated patient experience for pain assessment practice. However, there is no existing solution that dynamically predicts and projects interactive 3D facial avatars in real-time. To overcome this, we emphasize the need for a 3D display projection system that can project the facial avatar holographically, allowing users to interact with the avatar from any viewpoint. By incorporating 3D Gaussian Splatting (3DGS) and real-time view-dependent calibration, we significantly improve the training environment for accurate pain recognition and assessment. |
| title | Interactive Holographic Visualization for 3D Facial Avatar |
| topic | Graphics |
| url | https://arxiv.org/abs/2502.08085 |