Segmentation of point clouds via joint semantic and geometric features for 3D modeling of the built environment

Keyphrases

• Geometric Features 100%
• Semantic Features 100%
• Markov Random Field 100%
• Point Cloud 100%
• Built Environment 100%
• 3D Modeling 100%
• Semantic Labeling 100%
• Point Cloud Segmentation 100%
• Learning Methods 50%
• 3D Model 50%
• Neighborhood Context 50%
• Building Systems 50%
• Beam-column 50%
• Beam Element 50%
• Geometric Attributes 50%
• Horizontal-vertical 50%
• Point Cloud Data 50%
• Semantic Label 50%
• Art Performance 50%
• Wall Elements 50%
• Cloud-based 50%
• Virtual Design 50%
• Column Wall 50%
• Over-segmentation 50%
• Construction Services 50%
• Design Service 50%
• Virtual Construction 50%
• Pipe Elements 50%
• Manhattan World Assumption 50%
• Floor Element 50%
• Ceiling Element 50%

Engineering

• Joints (Structural Components) 100%
• Geometric Feature 100%
• Built Environment 100%
• Point Cloud 100%
• Random Field 50%
• Limitations 25%
• Experimental Result 25%
• Structural Element 25%
• Building System 25%
• Beam-Column 25%
• Ceilings 25%
• Floor Ceiling 25%

Computer Science

• Point Cloud 100%
• Experimental Result 25%
• Building System 25%
• Average Accuracy 25%
• Semantic Label 25%
• Art Performance 25%
• World Assumption 25%