US 12,217,380 B2
3-D reconstruction using augmented reality frameworks
Manish Upendran, San Francisco, CA (US); William Castillo, San Francisco, CA (US); Jena Dzitsiuk, San Francisco, CA (US); Yunwen Zhou, San Francisco, CA (US); Matthew Thomas, San Francisco, CA (US); Giridhar Murali, San Francisco, CA (US); and Atulya Shree, San Francisco, CA (US)
Assigned to Hover Inc., San Francsico (CA)
Filed by Hover, Inc., San Francisco, CA (US)
Filed on Jun. 8, 2023, as Appl. No. 18/331,896.
Application 18/331,896 is a continuation of application No. PCT/US2021/062381, filed on Dec. 8, 2021.
Application 18/331,896 is a continuation of application No. 17/118,370, filed on Dec. 10, 2020, granted, now 11,380,078.
Claims priority of provisional application 63/123,379, filed on Dec. 9, 2020.
Claims priority of provisional application 62/948,151, filed on Dec. 13, 2019.
Prior Publication US 2023/0316690 A1, Oct. 5, 2023
Int. Cl. G06T 19/20 (2011.01); G06T 7/73 (2017.01)
CPC G06T 19/20 (2013.01) [G06T 7/74 (2017.01); G06T 2207/10028 (2013.01); G06T 2210/04 (2013.01); G06T 2219/2016 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for validating camera information in 3-D reconstruction of a building structure, the method comprising:
obtaining world map data including a first track of real-world poses for a plurality of images, wherein the plurality of images comprises non-camera anchors;
detecting a discrepancy in at least one real-world pose of the first track;
in response to detecting a discrepancy, generating a new track of real-world poses; and
calculating a scaling factor for a 3-D representation of the building structure based on sampling across a plurality of tracks, wherein the plurality of tracks comprises at least the first track and the new track.