U-ARE-ME

Real-time rotation estimation
  • U-ARE-ME provides globally consistent rotation estimates in Manhattan environments across sequences of RGB images, without the need for camera intrinsics.
  • This is done by finding the rotation matrix that aligns the predicted surface normals to the principal directions of the scene.
  • Even in non-Manhattan scenes, it can reliably estimate the global up-direction (i.e. the pitch & roll).
Callum Rhodes
Callum Rhodes
Post Doc researcher

Automotive / Robotics / Machine vision engineer