CamOn: A Real-Time Autonomous Camera Control System

Paolo Burelli, Arnav Harish Jhala

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

    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
    OriginalsprogEngelsk
    TitelAAAI Conference On Artificial Intelligence In Interactive Digitale Entertainment Conference
    Publikationsdato2009
    StatusUdgivet - 2009

    Fingeraftryk

    Dyk ned i forskningsemnerne om 'CamOn: A Real-Time Autonomous Camera Control System'. Sammen danner de et unikt fingeraftryk.

    Citationsformater