US 12,224,063 B2
Information processing device, information processing method, and information processing system
Kenji Yamane, Tokyo (JP); Shinji Watanabe, Tokyo (JP); Takeshi Kunihiro, Tokyo (JP); and Kazuki Aisaka, Tokyo (JP)
Assigned to SONY GROUP CORPORATION, Tokyo (JP)
Appl. No. 17/432,165
Filed by SONY GROUP CORPORATION, Tokyo (JP)
PCT Filed Feb. 18, 2020, PCT No. PCT/JP2020/006240
§ 371(c)(1), (2) Date Aug. 19, 2021,
PCT Pub. No. WO2020/175238, PCT Pub. Date Sep. 3, 2020.
Claims priority of application No. 2019-035744 (JP), filed on Feb. 28, 2019.
Prior Publication US 2022/0172840 A1, Jun. 2, 2022
Int. Cl. G16H 50/20 (2018.01); G06T 7/00 (2017.01); G16H 30/40 (2018.01)
CPC G16H 50/20 (2018.01) [G06T 7/0014 (2013.01); G16H 30/40 (2018.01); G06T 2207/30096 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A first information processing device, comprising:
circuitry configured to:
acquire first image data of an identification target, wherein the first image data includes a first biological region of the identification target;
acquire first site information of a plurality of pieces of site information, wherein
the first site information is associated with the first biological region, and
each piece of site information of the plurality of pieces of site information is associated with a respective identifier of a plurality of identifiers;
select, from the plurality of identifiers, a first identifier corresponding to the acquired first site information;
execute an identification process based on each of the selected first identifier and the acquired first image data;
acquire second image data of the identification target, wherein the second image data includes a second biological region of the identification target;
acquire second site information of the plurality of pieces of site information, wherein
the second site information is associated with the second biological region,
each piece of site information of the plurality of pieces of site information is associated with a respective piece of model data of a plurality of pieces of model data, and
each piece of site information of the plurality of pieces of site information is associated with a respective learner of a plurality of learners;
select, from the plurality of learners, a first learner corresponding to the acquired second site information; and
generate model data, of the plurality of pieces of model data, corresponding to the acquired second site information, wherein the model data is generated based on each of the selected first learner and the acquired second image data.