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

Ludovic Burg 1, * Christophe Lino 2 Marc Christie 1
* Corresponding author
1 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
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.
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Submitted on : Thursday, July 30, 2020 - 2:16:11 PM
Last modification on : Friday, October 8, 2021 - 6:50:34 PM
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Ludovic Burg, Christophe Lino, Marc Christie. Real-time Anticipation of Occlusions for Automated Camera Control in Toric Space. Computer Graphics Forum, Wiley, 2020, xx (2), pp.1 - 11. ⟨10.1111/cgf.13949⟩. ⟨hal-02908973⟩



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