3D Communication of Animated Character Image Visualization Based on Digital Media Perspectives

Abstract

In this study, we initiate the process by pre-processing the character image data and establishing coordinate axes. Utilizing the parallax principle, we construct a three-dimensional model of the animated character image and design a multidimensional, time-sequential visualization scheme based on clustering techniques. To enhance the effectiveness of cluster visualization, we incorporate color and transparency into the model and develop a three-dimensional communication framework to facilitate user interaction and improve animated image visualization. Subsequently, we evaluate the advantages and feasibility of this three-dimensional communication approach, focusing on user experience and user engagement. We also explore the visual perception capabilities of this method against contrasting background colors of light and dark. The findings demonstrate a credible expression of animated video images, with a credibility index of 4.690. Additionally, user perception is quantified at an average of 4.895, which not only exceeds the four-point benchmark but also outperforms alternative methods. This research offers a substantial reference for the advancement of visual communication studies concerning animated character images.

Keywords

• multidimensional time series
• visualization
• clustering
• user interaction
• animated character image
• 97p10