This study introduces a visual communication framework designed specifically for animated character representation in virtual reality environments. The framework combines Sobel-based edge extraction, Hilditch skeletonization, motion capture integration, and adaptive color optimization to improve image clarity, motion fluidity, and overall visual appeal. Through a series of ablation studies, the contribution of each component is quantitatively evaluated, and the overall system achieves a recognition rate of 86.72%. Furthermore, a user evaluation with 30 participants demonstrates significant improvements in perceived motion realism and design coherence compared to a conventional system. These findings highlight the system’s potential for immersive content design and interactive virtual media applications.