US 11,816,801 B1
Codeless anchor generation for three-dimensional object models
Devin Bhushan, San Jose, CA (US); Seunghee Han, San Jose, CA (US); Caelin Thomas Jackson-King, Gormley (CA); Jamie Kuppel, Sunnyvale, CA (US); Stanislav Yazhenskikh, Santa Clara, CA (US); and Jim Jiaming Zhu, Scarborough (CA)
Assigned to SPLUNK INC., San Francisco, CA (US)
Filed by SPLUNK INC., San Francisco, CA (US)
Filed on Jan. 29, 2021, as Appl. No. 17/163,312.
Claims priority of provisional application 63/093,149, filed on Oct. 16, 2020.
Int. Cl. G06T 19/00 (2011.01); H04L 9/40 (2022.01); G06T 15/04 (2011.01)
CPC G06T 19/006 (2013.01) [G06T 15/04 (2013.01); H04L 63/0428 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
receiving a representation of a physical space that includes a real-world asset;
generating, based on the representation, an object anchor representing the real-world asset, wherein the object anchor includes a reference image of the real-world asset;
identifying asset content that includes data associated with the real-world asset; and
generating an association between the asset content and the object anchor, wherein, based on the association between the asset content and the object anchor, at least a portion of the asset content is configured to be presented in proximity to the real-world asset in an extended-reality (XR) environment in response to determining that a feature of a captured image including the real-world asset matches a feature of the reference image included in the object anchor.