Large-scale scene real-time rendering method based on user behavior analysis
A behavior analysis and real-time rendering technology, applied in the field of machine learning, can solve the problems of impossibility and resource consumption, and achieve the effect of avoiding rendering delay and saving rendering resources
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[0025] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.
[0026] The invention provides a large-scale scene real-time rendering method based on user behavior analysis.
[0027] Such as figure 1 As shown, the method first collects user movement behavior data in the virtual reality scene, and constructs a user behavior database in the virtual scene; then, builds a user behavior analysis basic model based on a neural network, uses the user behavior database training model obtained above, and obtains a personalized Model; finally, calculate the user's position and vision range at the next moment according to the trained personalized model, and output the scene to be rendered according to the current virtual reality scene data.
[0028] The following will be described in conjunction with specific embodiments.
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