Invention Grant
- Patent Title: Generating synthetic models or virtual objects for training a deep learning network
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Application No.: US16541406Application Date: 2019-08-15
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Publication No.: US11055573B2Publication Date: 2021-07-06
- Inventor: Reza Farivar , Kenneth Taylor , Austin Walters , Joseph Ford, III , Rittika Adhikari
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Harrity & Harrity, LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08

Abstract:
In some implementations, a training platform may receive data for generating synthetic models of a body part, such as a hand. The data may include information relating to a plurality of potential poses of the hand. The training platform may generate a set of synthetic models of the hand based on the information, where each synthetic model, in the set of synthetic models, representing a respective pose of the plurality of potential poses. The training platform may derive an additional set of synthetic models based on the set of synthetic models by performing one or more processing operations with respect to at least one synthetic model in the set of synthetic models, and causing the set of synthetic models and the additional set of synthetic models to be provided to a deep learning network to train the deep learning network to perform image segmentation, object recognition, or motion recognition.
Public/Granted literature
- US20200234083A1 GENERATING SYNTHETIC MODELS OR VIRTUAL OBJECTS FOR TRAINING A DEEP LEARNING NETWORK Public/Granted day:2020-07-23
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