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Circular Separable Convolution Depth of Field

Talk by Kleber Garcia at GDC 2018

Circular Separable Convolution Depth of Field (Circular DoF) is a mathematical adaptation and implementation of a separable circular filter, which utilizes complex plane phasers to create very accurate and fast bokeh. At its core, this technique convolves a circular pattern blur in the frequency domain using a horizontal and a vertical pass, representing the frame buffer using complex numbers. Important properties of this technique include convolution separability, low memory bandwidth and large radii circles. This session will present the algorithmic, visual and performance results of Circular Separable Convolution Depth of field in 'Madden NFL', 'FIFA 17' and 'PGA Tour'.

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