Invention Grant
- Patent Title: Color adaptation using adversarial training networks
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Application No.: US16769674Application Date: 2017-12-21
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Publication No.: US11321938B2Publication Date: 2022-05-03
- Inventor: Ti-chiun Chang , Jan Ernst , Patrick Reeb , Joachim Bamberger
- Applicant: Siemens Aktiengesellschaft
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE Munich
- International Application: PCT/US2017/067772 WO 20171221
- International Announcement: WO2019/125454 WO 20190627
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06V10/56 ; G06T7/11 ; G06T7/90 ; G06N3/08

Abstract:
Systems and methods are provided for adapting images from different cameras so that a single trained classifier or an analyzer may be used. The classifier or analyzer operates on images that include a particular color distribution or characteristic. A generative network is used to adapt images from other cameras to have a similar color distribution or characteristic for use by the classifier or analyzer. A generative adversarial process is used to train the generative network.
Public/Granted literature
- US20200372282A1 COLOR ADAPTATION USING ADVERSARIAL TRAINING NETWORKS Public/Granted day:2020-11-26
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