The present application relates to
virtual reality image processing technical field, disclose a kind of
virtual reality ideological and political content adaptive generation method based on
affective computing, comprising: user physiological
signal is mapped as visual intervention
weight coefficient;Preload reference and target color
lookup table;In rasterization stage, the
mask identification of information primitive is written to template buffer;In fragment shading stage, read template value, if matching
mask identification, then weight is zero, otherwise keep weight;Based on weight, linear interpolation is performed on the sampling value of double
lookup table, the present application realizes global
atmosphere rendering and local information fidelity pixel-level decoupling by template buffer, solves the problem that key information is lost due to dynamic visual style reconstruction under constant computing power overhead.