Patent ID: 11898963
Assignee: FUNDACIÓ INSTITUT DE CIÈNCIES FOTÒNIQUES
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 4:
5. A method, comprising:
illuminating at least part of a 3D object with electromagnetic radiation;
obtaining a plurality of spectral data sets for a plurality of respective regions of the 3D object, using a spectroscopy technique, and
generating, at a data processing apparatus, an identification result for the 3D object using a trained machine learning model, comprising processing the obtained spectral data sets using the trained machine learning model to generate a plurality of respective model outputs from which the identification result is derived, each model output comprising a latent space position for a respective spectral data set, the trained machine learning model comprising a neural network which has been trained to minimise a latent space distance between measurements for the same object and to maximise a latent space distance between measurements for different objects,
wherein generating the identification result comprises, for each of the plurality of obtained spectral data sets, comparing the latent space position for the obtained spectral data set with latent space positions for a plurality of stored data sets for a plurality of regions of a reference 3D object, wherein the identification result thereby quantifies an extent to which the 3D object is related to the reference 3D object.