PointCleanNet : Learning to Denoise and Remove Outliers from Dense Point Clouds

Computer Science

• Point Cloud 100%
• Surface Reconstruction 16%
• Traditional Method 16%
• Trained Network 16%
• de-noising 16%
• Deep Learning 16%
• Surface Fitting 16%

Engineering

• Point Cloud 100%
• Real Data 33%
• State-of-the-Art Method 16%
• Surface Fitting 16%
• Noise Level 16%
• Deep Learning 16%

Keyphrases

• Point Cloud Denoising 25%
• Outlier Samples 25%
• MLS Surface 25%
• Pre-trained Networks 25%
• Local Surface Fitting 25%
• Range Scan 25%
• Non-local Averaging 25%
• Removing Outliers 25%