Patent ID: 11898963
Assignee: INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 1:
2. The apparatus of claim 1, wherein the trained machine learning model comprises a Siamese neural network configured to receive the spectral data for a region of the 3D object, wherein the Siamese neural network comprises:
a first set of one or more neural network layers for processing a first spectral data set to determine a latent space representation of the first spectral data set, wherein the first spectral data set comprises one of said stored spectral data sets, and
a second set of one or more neural network layers for processing the second spectral data set to determine a latent space representation for the second spectral data set, wherein the second spectral data set comprises one of said obtained spectral data set,
wherein generating the identification result using the trained machine learning model comprises determining a measure of distance between the latent space representation of the first spectral data set and the latent space representation of the second spectral data set.