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

Claim 18:
19. The processing system of claim 17, wherein the neural network has been trained to predict correspondences in images pursuant to a training method further comprising:
determining a set of fourth feature distances between a sixth 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 third 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 sixth point in the first feature map corresponding to the same feature on the three-dimensional model of the subject; and
determining a third loss value of the set of loss values, the third loss value being based on the set of fourth feature distances and the set of third geodesic distances.