US 12,340,482 B2
Systems and methods for generating object detection labels using foveated image magnification for autonomous driving
Nicolas Cebron, Sunnyvale, CA (US); Deva K. Ramanan, Pittsburgh, PA (US); Mengtian Li, Pittsburgh, PA (US); and Chitteshwaran Thavamani, Troy, MI (US)
Assigned to Ford Global Technologies, LLC, Dearborn, MI (US)
Filed by FORD GLOBAL TECHNOLOGIES, LLC, Dearborn, MI (US)
Filed on Feb. 24, 2022, as Appl. No. 17/652,348.
Claims priority of provisional application 63/161,895, filed on Mar. 16, 2021.
Prior Publication US 2022/0301099 A1, Sep. 22, 2022
Int. Cl. G06T 3/18 (2024.01); G06T 3/4007 (2024.01); G06T 3/4046 (2024.01)
CPC G06T 3/18 (2024.01) [G06T 3/4007 (2013.01); G06T 3/4046 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of processing a high-resolution image, the method comprising, by a processor:
receiving a high-resolution image;
generating, using a saliency model, a saliency map of the high-resolution image, the saliency map comprising a saliency value associated with each of a plurality of pixels of the high-resolution image;
generating, using the saliency map, an inverse transformation function that is representative of an inverse mapping of one or more first pixel coordinates in a warped image to one or more second pixel coordinates in the high-resolution image;
implementing, using the inverse transformation function, an image warp for converting the high-resolution image to the warped image, the warped image being a foveated image that includes at least one region having a higher resolution than one or more other regions of the warped image; and
saving the warped image to a data store.