Computer Vision Section 064

3D Vision and Depth

Getting shape and distance back out of flat pictures, from a chessboard calibration to a photorealistic 3D scene.

11 of 11 lessons published Three reading levels on every lesson

Start with “Camera models and intrinsics”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. Camera models and intrinsics
  2. Calibrating a camera with a chessboard
  3. Homographies and perspective warp
  4. Feature matching with SIFT and ORB
  5. RANSAC for robust fitting
  6. Stereo depth from two cameras
  7. Monocular depth estimation
  8. Structure from motion
  9. Visual SLAM
  10. Neural radiance fields
  11. Gaussian splatting