US 12,001,024 B2
Energy-efficient adaptive 3D sensing
Jian Wang, West New York, NJ (US); Sizhuo Ma, Long Island City, NY (US); Brevin Tilmon, New York City, NY (US); Yicheng Wu, Houston, TX (US); Gurunandan Krishnan Gorumkonda, Kirkland, WA (US); Ramzi Zahreddine, Denver, CO (US); and Georgios Evangelidis, Vienna (AT)
Assigned to Snap Inc., Santa Monica, CA (US)
Filed by Snap Inc., Santa Monica, CA (US)
Filed on Apr. 13, 2023, as Appl. No. 18/299,923.
Claims priority of application No. 20220100840 (GR), filed on Oct. 12, 2022.
Prior Publication US 2024/0126084 A1, Apr. 18, 2024
Int. Cl. G02B 27/01 (2006.01); G06F 3/01 (2006.01); G06T 19/00 (2011.01)
CPC G02B 27/0172 (2013.01) [G06F 3/013 (2013.01); G06T 19/006 (2013.01); G02B 2027/0138 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
one or more cameras;
one or more projectors;
one or more processors operably connected to the one or more cameras and the one or more projectors; and
a memory operably connected to the one or more processors, the memory storing instructions that, when executed by the one or more processors, cause the system to perform operations comprising:
capturing, using the one or more cameras, image data of a real-world scene;
computing an attention mask based on the image data;
commanding the one or more projectors to send a distributed laser beam into an area of the real-world scene based on the attention mask;
capturing, using the one or more cameras, three-dimensional (3D) sensing image data of the area of the real-world scene while one or more projectors are sending the distributed laser beam into the area of the real-world scene; and
generating 3D sensing data for the real-world scene based on the 3D sensing image data.