Real-time Anticipation of Occlusions for Automated Camera Control in Toric Space - Archive ouverte HAL Access content directly
Journal Articles Computer Graphics Forum Year : 2020

Real-time Anticipation of Occlusions for Automated Camera Control in Toric Space

(1) , (2) , (1)
1
2

Abstract

Efficient visibility computation is a prominent requirement when designing automated camera control techniques for dynamic3D environments; computer games, interactive storytelling or 3D media applications all need to track 3D entities while ensuringtheir visibility and delivering a smooth cinematic experience. Addressing this problem requires to sample a large set of potentialcamera positions and estimate visibility for each of them, which in practice is intractable despite the efficiency of ray-castingtechniques on recent platforms. In this work, we introduce a novel GPU-rendering technique to efficiently compute occlusionsof tracked targets in Toric Space coordinates – a parametric space designed for cinematic camera control. We then rely on thisocclusion evaluation to derive an anticipation map predicting occlusions for a continuous set of cameras over a user-definedtime window. We finally design a camera motion strategy exploiting this anticipation map to minimize the occlusions of trackedentities over time. The key features of our approach are demonstrated through comparison with traditionally used ray-castingon benchmark scenes, and through an integration in multiple game-like 3D scenes with heavy, sparse and dense occluders.
Fichier principal
Vignette du fichier
Real_time_Anticipation_of_Occlusion_for_Automated_Camera_Control_in_Toric_Space.pdf (2.24 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02908973 , version 1 (30-07-2020)

Identifiers

Cite

Ludovic Burg, Christophe Lino, Marc Christie. Real-time Anticipation of Occlusions for Automated Camera Control in Toric Space. Computer Graphics Forum, 2020, xx (2), pp.1 - 11. ⟨10.1111/cgf.13949⟩. ⟨hal-02908973⟩
184 View
281 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More