NEURAL NETWORK MODEL BASED DEPTH ESTIMATION

Patent №

US 11,488,317

Granted

2022-11-01

Filed 2020

Owner

SONY CORPORATION

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17102273

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.

Machine learningNatural languageVisionKnowledge representationPlanningAI hardwareG06T 7/529G06T 7/55G06T 15/20G06T 2207/10028G06T 2207/20081G06T 2207/20084

AI classification

Vision1.00
Machine learning1.00
AI hardware1.00
Natural language0.99
Planning0.99
Knowledge representation0.76
Evolutionary computation0.22
Speech0.00

Ownership

SONY CORPORATION

assignment · 546940497

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