Voxel-space ambient occlusion

In this paper, we present a new volumetric ambient occlusion algorithm called Contextual Ambient Occlusion (CAO) that supports real-time clipping. The algorithm produces ambient occlusion images of exactly the same quality as Local Ambient ...

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• Clipping only affects the ambient value of a small number of voxels.
• It is more efficient to perform recalculation only on voxels affected by clipping.
• Contextual Ambient Occlusion achieves same quality as Local Ambient Occlusion.

One of the main aims of research in the area of ubiquitous or pervasive computing is that of dealing with the rapidly growing number of sensors, devices and artefacts in the user's environment, which have an increasing amount of intelligence built in ...

We present Neural Network Ambient Occlusion (NNAO), a fast, accurate screen space ambient occlusion algorithm that uses a neural network to learn an optimal approximation of the ambient occlusion effect. Our network is carefully designed such that it ...