Imagine a construction worker holding up a phone to a collapsed beam, getting a volume estimate accurate to 3% without a single reference marker. Imagine a botanist measuring the girth of a tree from a single archival photo taken 50 years ago.
So how does SVM cheat physics?
But the real world is neither clean nor obedient. single view metrology in the wild
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. Imagine a construction worker holding up a phone
For decades, the golden rule of metrology—the science of measurement—was simple: You cannot measure what you cannot touch. But the real world is neither clean nor obedient