[부스트캠프 AI tech CV] week09 (2022.03.18) 3D Understanding

redgreen·2022년 3월 18일
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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

  • 2d와 비슷

4.2 3D object detection

  • 자율주행에서 유용

4.3 3D semantic segmentation

4.4 Conditional 3D generation

  • Mesh R-CNN
  • input: 2D -> output: 3D
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