Real-Time Cinematic Tracking of Targets in Dynamic Environments

Ludovic Burg (1) , Christophe Lino (2) , Marc Christie (1)

1 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
2 LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]

Tracking in a cinematic way a moving target inside a 3D dynamic environment remains a challenging problem. This requires to simultaneously ensure a low computational cost, a good degree of reactivity and a high cinematic quality despite sudden changes. In this paper, we draw on the idea of Motion-Predictive Control to propose an efficient real-time camera tracking technique which ensures these properties. Our approach relies on the predicted motion of a target to create and evaluate a very large number of camera motions using hardware ray casting. Our evaluation of camera motions includes a range of cinematic properties such as distance to target, visibility, collision, smoothness and jitter. Experiments are conducted to display the benefits of the approach with relation to prior work.

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]

Ludovic Burg, Christophe Lino, Marc Christie. Real-Time Cinematic Tracking of Targets in Dynamic Environments. GI 2021 - Graphics Interface conference, May 2021, Vancouver, Canada. pp.1-10. ⟨hal-03519261⟩