US 12,086,929 B2
Material estimation for three-dimensional (3D) modeling
Nima Sarshar, Miami, FL (US); and Max Hwang, Hayward, CA (US)
Assigned to NexTech AR Solutions Corp., Toronto (CA)
Filed by NexTech AR Solutions Corp., Toronto (CA)
Filed on Mar. 29, 2022, as Appl. No. 17/707,880.
Claims priority of provisional application 63/243,185, filed on Sep. 12, 2021.
Prior Publication US 2023/0077427 A1, Mar. 16, 2023
Int. Cl. G06T 17/00 (2006.01); G06F 30/10 (2020.01); G06F 30/12 (2020.01); G06N 20/20 (2019.01); G06T 7/10 (2017.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06T 15/04 (2011.01); G06T 17/10 (2006.01); G06T 17/20 (2006.01); G06T 17/30 (2006.01); G06V 10/74 (2022.01); G06V 20/64 (2022.01)
CPC G06T 17/00 (2013.01) [G06F 30/10 (2020.01); G06T 7/10 (2017.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06T 15/04 (2013.01); G06T 17/10 (2013.01); G06T 17/20 (2013.01); G06T 17/30 (2013.01); G06V 10/761 (2022.01); G06V 20/64 (2022.01); G06F 30/12 (2020.01); G06N 20/20 (2019.01); G06T 2207/20044 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a material image, the material image comprising a two-dimensional (2D) color image depicting a physical material;
identifying a material class of the physical material based on the material image, the material class indicative of a type of material for the physical material;
identifying a texture map model corresponding to the material class, the texture map model comprising a machine-learning model trained to generate texture maps based on material images of physical materials of the corresponding material class; and
generating a set of texture maps based on the material image through application of the texture map model to the material image, each texture map in the set of texture maps comprising a set of texture values for the physical material.