Artist-directed volumetric dynamic virtual cameras
Abstract:
A volumetric dynamic virtual camera system employs a radial basis function (RBF) component that can utilize non-uniform training datasets that are blended to provide interpolated camera parameters during application runtime based on a player's position within virtual volumes in a 3D space. During application development, an artist or developer can interactively author cameras that are finely tuned to appear just right and which provide the training data for runtime. The RBF component blends the training data during runtime as the player's position within the volume changes to produce camera parameters that the camera system uses to capture scenes for rendering on a display device. The result is an overall camera system that lets authors very quickly develop film-quality cameras that appear and behave more like fully dynamic cameras having significant intelligence. The cameras are volumetric because they can exist in all the virtual spaces exposed by the application.
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