US 12,462,519 B2
Detecting shadows and corresponding objects in digital images
Luis Figueroa, San Jose, CA (US); Zhe Lin, Fremont, CA (US); Zhihong Ding, Fremont, CA (US); and Scott Cohen, Sunnyvale, CA (US)
Assigned to Adobe Inc., San Jose, CA (US)
Filed by Adobe Inc., San Jose, CA (US)
Filed on Nov. 23, 2022, as Appl. No. 18/058,575.
Prior Publication US 2024/0169685 A1, May 23, 2024
Int. Cl. G06V 10/20 (2022.01); G06F 3/04842 (2022.01); G06F 3/04845 (2022.01); G06T 11/60 (2006.01); G06V 10/82 (2022.01)
CPC G06V 10/255 (2022.01) [G06F 3/04842 (2013.01); G06F 3/04845 (2013.01); G06T 11/60 (2013.01); G06V 10/82 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving a digital image from a client device;
detecting, utilizing a shadow detection neural network, an object portrayed in the digital image;
detecting, utilizing the shadow detection neural network, a shadow portrayed in the digital image;
generating, utilizing the shadow detection neural network, an object-shadow pair prediction that associates the shadow with the object;
providing the digital image for display within a graphical user interface of the client device; and
providing, for display within the graphical user interface in response to detecting a selection of the object, a first visual indication of the selection of the object and a second visual indication that the shadow is included in the selection based on the object-shadow pair prediction.