Friston, SJ; Steed, A; (2019) Real-Time Collision Detection for Deformable Characters with Radial Fields. IEEE Transactions on Visualization and Computer Graphics , 25 (8) pp. 2611-2622. 10.1109/TVCG.2018.2859924.

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Abstract

Many techniques facilitate real-time collision detection against complex models. These typically work by pre-computing information about the spatial distribution of geometry into a form that can be quickly queried. When models deform though, expensive pre-computations are impractical. We present radial fields: a variant of distance fields parameterised in cylindrical space, rather than Cartesian space. This 2D parameterisation significantly reduces the memory and computation requirements of the field, while introducing minimal overhead in collision detection tests. The interior of the mesh is defined implicitly for the entire domain. Importantly, it maps well to the hardware rasteriser of the GPU. Radial fields are much more application-specific than traditional distance fields. For these applications - such as collision detection with articulated characters - however, the benefits are substantial.

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