Frustum-LDGCNN: A High Efficient 3D Object Detection Network with Frustum Proposal.
Junhong QianYoulong LvYiping GaoJunliang WangPublished in: CASE (2023)
Keyphrases
- d objects
- viewpoint
- multi view
- three dimensional
- object recognition
- cad models
- range data
- pose estimation
- multiple views
- shape descriptors
- integral imaging
- texture mapping
- object representation
- object classes
- line drawings
- network structure
- complex networks
- control points
- detection method
- object detection
- surface properties
- cad model
- multiresolution
- geometric invariants
- social networks