Generative Model-Driven Sampling Strategy for the High-Efficiency Measurement of Complex Surfaces on Coordinate Measuring Machines

Keyphrases

• Actual Measurement 33%
• Characteristic Limits 33%
• Complex Parts 33%
• Complex Surface 100%
• Coordinate Measuring Machine 100%
• Dense Sampling 33%
• Efficiency Measurement 100%
• Fractional Brownian Motion 33%
• Generative Models 100%
• High Efficiency 100%
• Large-scale Dataset 33%
• Machining Error 100%
• Measurement Accuracy 33%
• Measurement Simulation 33%
• Multi-scale Neural Network 33%
• Neural Model 33%
• Neural Network Architecture 33%
• Point Cloud Super-resolution 33%
• Precision Measurements 33%
• Sampling Strategy 100%
• Sampling Time 33%
• Sparse Measurements 33%
• Sparse Sampling 33%
• Surface Error 33%
• Training Model 33%

Engineering

• Coordinate Measuring Machine 100%
• Fractional Brownian Motion 33%
• Generative Model 100%
• Measurement Increase 33%
• Multiscale 33%
• Neural Model 33%
• Neural Network Architecture 33%
• Point Cloud 33%
• Sampled Data 33%
• Sampling Point 66%
• Sampling Time 33%

Chemical Engineering

• Neural Network 100%