Research on the Application of 3D Animation Technology in the Digital Reproduction and Brand Image Construction of Guibei Ancient Village Cultural Heritage

Abstract

The inheritance and protection of the historical, cultural and folk art values of ancient villages in development are generally carried out in three aspects, namely, architectural elements, landscape elements and living elements. This paper applies a 3D animation scanner to collect the point cloud data of Guibei ancient villages and completes the pre-processing of the point cloud data by using the algorithm of SAC-IA coarse alignment + ICP fine alignment for the alignment. After that, the Poisson equation is optimized by using Gaussian filtering to realize the point cloud surface reconstruction of Guibei village buildings, and the cultural information texture extracted by the K-Means clustering algorithm is mapped to realize the digital reproduction of the cultural heritage of ancient villages in the Guibei. On this basis, the cultural brand image of Guibei ancient villages is constructed from multiple perspectives by collecting tourists’ cognitive data about them. The accuracy of the established 3D animation model is as low as 88.02% and as high as 97.21%, the total fluctuation of completeness ranges from 84.93% to 96.43%, and the time used for modeling basically stays below 2.9h. It has a high awareness of its natural landscape (26.44%), humanistic landscape (37.33%), folk culture (20.57%), service facilities (9.23%), characters (4.40%), and specialty food (2.03%). The study provides a theoretical and practical foundation for communicating images of ancient villages.

Keywords

• point cloud data
• sac-ia coarse alignment
• poisson equation
• k-means clustering algorithm
• guibei ancient villages
• 68t42