Modern Art Interactive Design Based on Artificial Intelligence Technology

Abstract

To improve the effect of modern art design, this study presents a camera pose estimation algorithm based on the least feature points of quaternion. Moreover, this study detects and matches the feature points of the camera image and establishes a system of formulas through the rigid constraints of the feature points, thereby constructing an eigenvalue problem to solve the camera pose. In addition, this study combines artificial intelligence technology to construct the modern art interactive design system and structure the system function structure. Finally, this study analyzes the logical structure and spatial structure of the system and uses the design to analyze the performance of the modern art interaction design model proposed in this study. Through experimental research, it can be known that the modern art interactive design system based on artificial intelligence technology proposed in this study can basically meet the artistic design needs of the new media era.