Research on Immersive Experience Simulation System of Virtual Reality Technology in Visual Art Creation

The research on the technology of planar graph acquisition in visual communication system plays a very important role in improving the utilization rate of graphic information. In order to obtain the feature vector of the graph element, the covariance matrix of the graph element must be calculated first. In view of the problems of low accuracy, high dimension and low recognition rate in the feature extraction methods of various elements in the visual-oriented transmission system, this project intends to carry out research on the acquisition of primitives in the visual-oriented transmission system. By calculating the mean value of primitive features, the final eigenvalue is obtained. The dimensionality of the high dimensional primitives is reduced by variance analysis of the filtered two-dimensional images. Then the size and orientation are determined based on maximum and minimum gray values. And by solving the covariance matrix of each element, the feature vector of each element is obtained, so as to complete the acquisition of the elements of the two-dimensional image. Simulation results show that the algorithm can effectively solve the problem of obtaining two-dimensional primitives, and the obtained primitives have lower dimension and higher recognition rate.