Patent ID: 11954899
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. The processing system of claim 18, wherein the neural network has been trained to predict correspondences in images pursuant to a training method further comprising:
determining a set of fifth feature distances between a seventh point as represented in the first feature map and all points of the second image as represented in the second feature map;
determining a set of fourth geodesic distances between a first point as represented in a second surface map and all points of the second image as represented in the second surface map, the second surface map corresponding to the second image and having been generated using the three-dimensional model of the subject, and the first point in the second surface map and the seventh point in the first feature map corresponding to the same feature on the three-dimensional model of the subject; and
determining a fourth loss value of the set of loss values, the fourth loss value being based on the set of fifth feature distances and the set of fourth geodesic distances.