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Design and Implementation of 3D Animation Data Processing Development Platform Based on Artificial Intelligence.

Quansheng Gao¹

¹College for Creative Studies, Changzhou Vocational Institute of Textile and Garment, Changzhou, Jiangsu 213164, China.

Computational Intelligence and Neuroscience

|June 9, 2022

Summary

This study introduces an AI-powered 3D animation platform using a random forest model to improve animation generation. The platform effectively processes data and learns from user feedback for enhanced animation development.

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Area of Science:

Computer Science
Artificial Intelligence
Animation Technology

Background:

Traditional 3D animation development relies heavily on manual processes and extensive data.
Existing platforms often lack sophisticated mechanisms for learning from historical data to guide new animation generation.
The integration of AI offers potential for automating and optimizing animation workflows.

Purpose of the Study:

To design and implement an artificial intelligence-based 3D animation data processing and development platform.
To develop a random forest model capable of mining experience from animation data to guide generation.
To create a platform that can learn and adapt based on user interaction and system feedback.

Main Methods:

Development of a 3D animation data processing platform leveraging computer-aided technology.
Implementation of a random forest model trained on standardized historical animation data.
Continuous experimental optimization of the random forest model parameters.
Integration of the platform with animation generation modules, users, and administrators for interactive learning.

Main Results:

The developed platform effectively processes and develops 3D animation data.
The random forest model successfully mines experience to guide animation generation.
The platform demonstrates initiative learning by receiving sample data and suggesting model updates.
Experimental results validate the platform's effectiveness and feasibility.

Conclusions:

The AI-driven 3D animation platform is a viable and effective solution for enhancing animation development.
The random forest model plays a crucial role in optimizing animation generation through data mining.
The platform's interactive learning capabilities allow for continuous improvement and user satisfaction.