Sony Group Corporation
NEURAL NETWORK MODEL BASED DEPTH ESTIMATION

Abstract:

A system is provided that stores a neural network model trained on a training dataset which indicates an association between first graphic information associated with one or more first objects and corresponding first plurality of depth images. The system receives second graphic information that corresponds to the one or more first objects. The system further applies the trained neural network model received on the second graphic information. The system predicts a first depth image from the first plurality of depth images based on the application of the trained neural network model on the received second graphic information. The system extracts first depth information from the predicted first depth image. The first depth information corresponds to the one or more first objects indicated by the second graphic information.