US 12,067,500 B2
Methods for processing a plurality of candidate annotations of a given instance of an image, and for learning parameters of a computational model
Ashutosh Gokarn, Courbevoie (FR); and Dora Csillag, Courbevoie (FR)
Assigned to IDEMIA IDENTITY & SECURITY FRANCE, Courbevoie (FR)
Filed by IDEMIA IDENTITY & SECURITY FRANCE, Courbevoie (FR)
Filed on Dec. 4, 2020, as Appl. No. 17/112,504.
Claims priority of application No. 19306594 (EP), filed on Dec. 6, 2019.
Prior Publication US 2021/0174228 A1, Jun. 10, 2021
Int. Cl. G06K 9/00 (2022.01); G06F 16/51 (2019.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06V 10/70 (2022.01)
CPC G06N 5/04 (2013.01) [G06F 16/51 (2019.01); G06N 20/00 (2019.01); G06V 10/70 (2022.01)] 16 Claims
OG exemplary drawing
 
1. A method for processing a plurality of candidate annotations of a given instance of an image, each candidate annotation being defined as a closed shape matching the instance, wherein the method comprises performing, by a processing unit (21) of a server (2), steps of:
(a) segregating said candidate annotations into a set of separate groups, wherein each of the separate group consists of a single candidate annotation or consists of a plurality of overlapping candidate annotations;
(b) selecting a subset of said groups as a function of a first predetermined number of candidate annotations in each group;
(c) building a final annotation of the given instance of said image as a combination of regions of the candidate annotations of said selected groups, wherein at least a second predetermined number of the candidate annotations of said selected groups overlap in each of the regions.