Abstract

Abstract This paper uses a semantic analysis of dialects, and a dialect word vector model is constructed. Based on the dialect word vector, the visual translation graphics of the language are used as the basic element to realize dialectalized graphic design. Secondly, the feature point matching is combined with the SIFT algorithm, where the key point is to elaborate the projection transformation matrix by the polar geometry and solve the projection transformation matrix. Then, the Jacobi determinant determines the image distortion to determine the contrast correction of the two graphics. A dialectalized graphical display platform uses virtual reality technology to achieve human-computer interaction. After testing the platform, it was obtained that the error rate generated by the display method was between 0.9 and 1.3%, the display accuracy was about 95.8%, the running time required for the display method was between 2.8s and 3.9s, and the platform display performance was good.

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