Abstract
Video communication systems traditionally offer limited or no experience of eye contact due to the offset between cameras and the screen. In response, we are experimenting with the use of multiple Kinect cameras for generating a 3D model of the user, and then rendering a virtual camera angle giving the user an experience of eye contact. In doing this, we use concepts from KinectFusion, such as a volumetric voxel data representation and GPU accelerated ray tracing for viewpoint rendering. This achieves a detailed 3D model from a noisy source, and delivers a promising video output in terms of visual quality, lag and frame rate, enabling the experience of eye contact and face gaze.
| Original language | English |
|---|---|
| Title of host publication | CHI EA 2014 |
| Subtitle of host publication | One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 1561-1566 |
| Number of pages | 6 |
| ISBN (Print) | 9781450324748 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | International Conference on Human Factors in Computing Systems 2014 - Metro Toronto Convention Centre, Toronto, Canada Duration: 26 Apr 2014 → 1 May 2014 Conference number: 32nd https://chi2014.acm.org/ https://dl.acm.org/doi/proceedings/10.1145/2556288 (Proceedings) |
Conference
| Conference | International Conference on Human Factors in Computing Systems 2014 |
|---|---|
| Abbreviated title | CHI 2014 |
| Country/Territory | Canada |
| City | Toronto |
| Period | 26/04/14 → 1/05/14 |
| Internet address |
Keywords
- Eye contact
- Gaze
- Kinect
- Virtual view camera