Invention Grant
- Patent Title: Multi-agent training of a color identification neural network
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Application No.: US15280506Application Date: 2016-09-29
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Publication No.: US10346710B2Publication Date: 2019-07-09
- Inventor: Zhiling Xu
- Applicant: DATACOLOR HOLDING AG
- Applicant Address: US NJ Lawrenceville
- Assignee: Datacolor Inc.
- Current Assignee: Datacolor Inc.
- Current Assignee Address: US NJ Lawrenceville
- Agency: Leason Ellis LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06K9/62 ; G06N3/02

Abstract:
Various embodiments of the systems and methods described herein are directed towards training an artificial neural network to identify color values of a sample by providing image data obtained through multiple image capture devices under a plurality of lighting conditions. The present invention also includes using a pre-trained neural network to identify the color values of a sample having an unknown color value by capturing an image of an unknown color sample and known color reference samples under any illumination or hardware configuration.
Public/Granted literature
- US20180089532A1 MULTI-AGENT TRAINING OF A COLOR IDENTIFICATION NEURAL NETWORK Public/Granted day:2018-03-29
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