[부스트캠프 AI tech CV] week09 (2022.03.18) 3D Understanding
1. 3D가 사용되는 곳
- AI driving
- AR / VR
- 3D printing
- medical applications
2. 3D 표현 방법
3. 3D dataset
- ShapeNet:
51,300 3d models
/ 55 categories
- PartNet: useful for segmantation,
573,585 part instance
, 26,671 3D models
- SceneNet:
5,000,000
RGB-Depth indoor images
- ScanNet: (RGB-Depth) dataset,
2.5 million views
- Outdoor 3D Scene datasets
- KITTI: LiDAR data labeled by 3D bboxes
- Sementic KITTI: LiDAR data labeled per point
- Waymo Open Dataset: LiDAR data labeled bt 3D bboxes
4. 3D tasks
4.1 3D recognition
4.2 3D object detection
4.3 3D semantic segmentation
4.4 Conditional 3D generation
- Mesh R-CNN
input: 2D
-> output: 3D