Research on Multi-Mode Interactive Virtual Reality Scene Enhancement Based on Artificial Intelligence
PubDate: March 2020
Teams: Chongqing University Of Arts And Science
Writers: Feng Gao; Guofeng Xu
Abstract
Aiming at the problem of high distortion of traditional virtual reality scene enhancement methods, a multi-mode interactive vr scene enhancement method based on artificial intelligence is studied. The convolution neural network in artificial intelligence technology is used to extract the cloud of virtual field points and reconstruct the cloud of virtual field points. The coordinate matching relationship between the virtual scene built by computer and the real world was determined, and the virtual scene was enhanced in detail by Gouraud shading algorithm, texture mapping and other processing methods. Combined with multi-mode interactive equipment, the processed virtual scene is projected into the real space to complete the design of multi-mode interactive virtual reality scene enhancement method based on artificial intelligence. Through the comparison experiment with the traditional scene enhancement method, it is verified that the designed virtual reality scene enhancement method based on artificial intelligence can reduce the distortion degree, improve the user satisfaction and have a broader application prospect.
