US 12,456,178 B2
Self-learning distortion correction
Joakim Ericson, Lund (SE); Song Yuan, Lund (SE); and Johan Stening, Lund (SE)
Assigned to AXIS AB, Lund (SE)
Filed by Axis AB, Lund (SE)
Filed on May 31, 2023, as Appl. No. 18/326,555.
Claims priority of application No. 22181939 (EP), filed on Jun. 29, 2022.
Prior Publication US 2024/0005460 A1, Jan. 4, 2024
Int. Cl. G06T 5/00 (2024.01); G06T 5/50 (2006.01); G06T 5/80 (2024.01)
CPC G06T 5/80 (2024.01) [G06T 5/50 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method of distortion correction in an image of a scene captured by a camera having a non-rectilinear lens, including:
i) obtaining multiple images of the scene captured by the camera over time;
ii) determining where bottom portions of one or more objects having moved over a horizontal surface in the scene are located in at least some of the multiple images;
iii) determining a boundary of the horizontal surface in the scene based on the determined locations of the bottom portions;
iv) generating a three-dimensional model of the scene by defining one or more vertical surfaces around the determined boundary of the horizontal surface of the scene, and
v) correcting a distortion of at least one of the multiple images by projecting at least one image of the multiple images onto the three-dimensional model of the scene.