{
  "$type": "site.standard.document",
  "description": "A method (200) of distortion correction in an image captured by a non-rectilinear camera (210) is provided, including obtaining multiple images (212) of a scene captured by the camera over time, determining (220) where bottom portions (222) of objects having moved over a horizontal surface in the…",
  "path": "/patents/1394788",
  "publishedAt": "2024-05-08T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06T17/00",
    "AXIS AB [SE]"
  ],
  "textContent": "A method (200) of distortion correction in an image captured by a non-rectilinear camera (210) is provided, including obtaining multiple images (212) of a scene captured by the camera over time, determining (220) where bottom portions (222) of objects having moved over a horizontal surface in the scene are located in the images, determining (230) a boundary (232) of the horizontal surface in the scene based on the determined locations of the bottom portions, generating (240) a three-dimensional model (242) of the scene by defining one or more vertical surfaces around the determined boundary of the horizontal surface of the scene, and correcting (250) a distortion of at least one of the images by projecting the image onto the three-dimensional model of the scene. A corresponding device, computer program and computer program product are also provided.",
  "title": "SELF-LEARNING IMAGE GEOMETRICAL DISTORTION CORRECTION"
}