Abstract
This demonstration presents CamOn, an autonomous cam- era control system for real-time 3D games. CamOn employs multiple Artificial Potential Fields (APFs), a robot motion planning technique, to control both the location and orienta- tion of the camera. Scene geometry from the 3D environment contributes to the potential field that is used to determine po- sition and movement of the camera. Composition constraints for the camera are modelled as potential fields for controlling the view target of the camera. CamOn combines the compositional benefits of constraint- based camera systems, and improves on real-time motion planning of the camera. Moreover, the recasting of camera constraints into potential fields is visually more accessible to game designers and has the potential to be implemented as a plug-in to 3D level design and editing tools currently avail- able with games. Introduction
| Original language | English |
|---|---|
| Title of host publication | AAAI Conference On Artificial Intelligence In Interactive Digitale Entertainment Conference |
| Publication date | 2009 |
| Publication status | Published - 2009 |
Keywords
- Autonomous Camera Control
- Artificial Potential Fields
- Real-time 3D Games
- Robot Motion Planning
- 3D Environment Geometry