US 11,928,840 B2
Methods for analysis of an image and a method for generating a dataset of images for training a machine-learned model
Yubin Kuang, Lund (SE); Pau Gargallo Piracés, Barcelona (ES); Manuel Antonio López Antequera, Malaga (ES); Roger Marí Molas, Barcelona (ES); and Jan Erik Solem, Bjärred (SE)
Assigned to Meta Platforms, Inc., Menlo Park, CA (US)
Appl. No. 17/439,355
Filed by Meta Platforms, Inc., Menlo Park, CA (US)
PCT Filed Mar. 13, 2020, PCT No. PCT/EP2020/056771
§ 371(c)(1), (2) Date Sep. 14, 2021,
PCT Pub. No. WO2020/187723, PCT Pub. Date Sep. 24, 2020.
Claims priority of application No. 1950327-5 (SE), filed on Mar. 15, 2019.
Prior Publication US 2022/0198710 A1, Jun. 23, 2022
Int. Cl. G06T 7/80 (2017.01); G06T 5/00 (2006.01)
CPC G06T 7/80 (2017.01) [G06T 5/006 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for analysis of an image, said method comprising:
receiving the image to be analyzed;
processing the image with a machine-learned model, wherein the machine-learned model is configured to predict at least an intrinsic parameter of the image using at least a first variable of the machine-learned model, wherein the first variable defines a relation between a radial distortion of the image and a focal length of the image; and
outputting the intrinsic parameter of the image.