Object recognition method with increased representativeness

A method for recognizing an object of interest in a degraded 2D digital image of said object, comprising the following steps:

• detecting, beforehand, the object of interest in a 2D digital image and assigning it a label;
• reconstructing a 3D volume of said object thus labeled from a plurality of available 2D digital images of said object of interest;
• storing, in a database, a record relating to said object thus reconstructed in 3D form and labeled;
• for each record thus stored, generating a new plurality of 2D digital images according to a plurality of viewing modes from the thus reconstructed 3D volume of each object, the viewing modes comprising exposure modes with different levels of occlusion and/or of added noise;
• training a neural network on a learning set composed of an expanded set of 2D digital images thus generated and corresponding with the label of the object of interest to be recognized;
• from a degraded 2D digital image of said object of interest to be recognized, using the neural network thus trained to deliver as output the label of the object and a confidence index linked to the recognition of the object of interest.