Single View Metrology In The Wild Review

When Manhattan geometry fails, look for the ground plane. Modern SVM uses a neural network to segment the floor or ground surface. By estimating the camera's height above that plane (using common priors like "a smartphone is held at 1.5m"), the model can project any point on the ground plane into 3D.

Here is how state-of-the-art systems (like those from Meta, Google Research, or academic labs at ETH Zurich) operate in the wild today: single view metrology in the wild

If you wanted to know the height of a doorway, the width of a warehouse, or the distance between two streetlamps, you needed a physical tool: a laser, a tape measure, or at least a stereo camera rig. Then came the constraint of "controlled environments." Labs with checkerboard patterns. Studios with calibrated lighting. Clean, tidy, obedient data. When Manhattan geometry fails, look for the ground plane