System and method for pose tolerant feature extraction using generated pose-altered images

Disclosed herein is a system and method for augmenting data by generating a plurality of pose-altered images of an item from one or more 2D images of the item and using the augmented data to train a train a feature extractor. In other aspects of the invention, the trained feature extractor is used t...

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Bibliographic Details
Main Authors Uzair, Ahmed, Hu, Kai, Savvides, Marios, Nallamothu, Sreena, Zheng, Yutong
Format Patent
LanguageEnglish
Published 13.02.2024
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:Disclosed herein is a system and method for augmenting data by generating a plurality of pose-altered images of an item from one or more 2D images of the item and using the augmented data to train a train a feature extractor. In other aspects of the invention, the trained feature extractor is used to enroll features extracted from images of new products in a library database of known products or to identify images of unknown products by matching features of an image of the unknown product with features stored in the library database.
Bibliography:Application Number: US202218011558