Neural network model based depth estimation

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United States of America Patent

PATENT NO 11488317
SERIAL NO

17102273

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Abstract

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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.

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Patent Owner(s)

Patent OwnerAddress
SONY CORPORATION1-7-1 KONAN MINATO-KU TOKYO 108-0075

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Lee, Jong Hwa San Diego, US 127 911
Myllykoski, Antti San Diego, US 3 183
White, Gareth San Diego, US 6 53
Winter, Edward Theodore San Diego, US 15 159

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