Learning to Understand 3D Object Parts

6-year PhD in Stanford

Understanding 3D data
Robotics, VR & AR, Autonomous Driving
Medical Image Processing

Sufficient perception for planning and execution
Structural Understanding with parts

Object parts constraints
Fabrication, economic, functional, semantic

Based on Vision

Supervised, define parts
Expensive data acquisition

Weakly supervised
Leverage ambient supervision

Semantic, Kinematic, Primitive Part(CAD)
Data acquisition

shapenet
PartNet
pointnet
texturenet
GSPN

Hierarchical Segmentation

object graph
semi-supervised
SEM optimization

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转载自blog.csdn.net/u012397583/article/details/84997763