To provide a method and a system for classifying an object, in which deep layer learning is combined with a light-field image.SOLUTION: Light-field data is masked to identify regions of interest, before applying to deep learning models. In one approach, a light-field camera captures a light-field image of an object to be classified. The light-field image includes a plurality of views of the object taken simultaneously from different viewpoints. The light-field image is pre-processed, its resulting data are provided as input to a deep learning model. The pre-processing includes determining masks to select regions of interest within the light-field data and then applying the masks. In this way, less relevant data can be excluded from the deep learning model. On the basis of the masked data, the deep learning model produces determination classifying the object.SELECTED DRAWING: Figure 1
DEEP LEARNING ARCHITECTURES FOR CLASSIFICATION OF OBJECTS CAPTURED WITH LIGHT-FIELD CAMERA