Editable Mesh Animations Modeling Based on Controlable Particles for Real-Time XR.

Area of Science:

• Computer Graphics and Virtual Reality
• Human-Computer Interaction
• Animation and Simulation

Background:

• Real-time generation of editable mesh animations in Extended Reality (XR) is crucial but challenging.
• Existing methods struggle with slow generation, inaccurate shape simulation, and require manual adjustments.
• Controlling multiple target models simultaneously and achieving high fidelity remain significant limitations.

Purpose of the Study:

• To develop a universal control scheme for particle-based editable mesh generation in XR.
• To overcome limitations of existing methods regarding speed, accuracy, and multi-model control.
• To enable precise and efficient creation of smooth editable meshes for XR animation applications.

Main Methods:

• Proposed a universal particle control scheme leveraging target sampling features.
• Introduced a spatially adaptive control algorithm for particle coupling based on spatial features.
• Implemented boundary correction techniques and a distance-adaptive particle fragmentation mechanism.

Main Results:

• Demonstrated superior performance in controlling complex structures and generating multiple targets compared to existing methods.
• Achieved enhanced control accuracy for complex structures and targets, even with sparse model sampling.
• Maintained high stability and efficiency, delivering outstanding results consistently.

Conclusions:

• The proposed method effectively addresses limitations in real-time editable mesh animation for XR.
• It enables precise control, efficient generation of multiple targets, and high-fidelity mesh animations.
• The algorithm is suitable for integration into Virtual Reality (VR) and Augmented Reality (AR) animation applications.