US 11,989,821 B2
Arbitrary view generation
Clarence Chui, Los Altos Hills, CA (US); Manu Parmar, Sunnyvale, CA (US); Amogh Subbakrishna Adishesha, State College, PA (US); Harshul Gupta, La Jolla, CA (US); and Avinash Venkata Uppuluri, Sunnyvale, CA (US)
Assigned to Outward, Inc., San Jose, CA (US)
Filed by Outward, Inc., San Jose, CA (US)
Filed on Nov. 5, 2020, as Appl. No. 17/090,794.
Application 17/090,794 is a continuation in part of application No. 16/523,888, filed on Jul. 26, 2019, granted, now 11,232,627.
Application 16/523,888 is a continuation in part of application No. 16/181,607, filed on Nov. 6, 2018, granted, now 11,024,076.
Application 16/181,607 is a continuation of application No. 15/721,426, filed on Sep. 29, 2017, granted, now 10,163,250, issued on Dec. 25, 2018.
Application 15/721,426 is a continuation in part of application No. 15/081,553, filed on Mar. 25, 2016, granted, now 9,996,914, issued on Jun. 12, 2018.
Claims priority of provisional application 62/933,261, filed on Nov. 8, 2019.
Claims priority of provisional application 62/933,258, filed on Nov. 8, 2019.
Claims priority of provisional application 62/541,607, filed on Aug. 4, 2017.
Prior Publication US 2021/0125403 A1, Apr. 29, 2021
Int. Cl. G06K 9/36 (2006.01); G06F 16/58 (2019.01); G06T 5/50 (2006.01); G06T 7/32 (2017.01); G06T 15/20 (2011.01)
CPC G06T 15/205 (2013.01) [G06F 16/58 (2019.01); G06T 5/50 (2013.01); G06T 7/32 (2017.01)] 54 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving an input image of an object or asset; and
determining depth values of the object or asset in the input image;
wherein depth values are at least in part determined using a machine learning based framework that is constrained to a known prescribed environment and wherein determined depth values facilitate generation of other views of the object or asset.