Accurate Integration of Multi-view Range Images Using K-Means Clustering

Engineering

• Surfaces 100%
• Integration 100%
• Applications 40%
• Error 40%
• Real Image 20%
• Set Point 20%
• Algorithm 20%
• Computational Time 20%
• Comparative Study 20%
• Images 20%
• Integration Method 20%
• Captured Image 20%
• Artefact 20%

Computer Science

• Application 40%
• Information Storage 20%
• Distance Threshold 20%
• Machine Learning 20%
• Captured Image 20%
• Cluster Centroid 20%
• Pattern Recognition 20%
• Computational Time 20%
• Data Fusion 20%
• Clustering Method 20%
• Geometric Detail 20%
• Artifacts 20%
• K-Means Clustering 20%