Real-time Performance Analysis of Quantization-based Easing Functions via Game Engine Implementation

Key Points

• The aim is to validate the performance of quantization-based easing functions in a real game engine context.
• Implemented quantization-based easing functions and mathematical easing functions in a game engine
• Applied various quantization levels to analyze performance
• Quantitatively assessed real-time performance and visual quality using maximum absolute error and mean squared error
• Errors reduced to below 0.01 for maximum absolute error and 0.005 for mean squared error at quantization levels above 128
• Established the critical threshold for maintaining visual quality when using quantization-based easing functions

Abstract