Patent · US Active

Color adaptation using adversarial training networks

US11321938B2 · kind B2 · utility

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13Claims

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Assignee

Siemens Aktiengesellschaft · DE

Inventors

Ti-chiun Chang · Plainsboro, US
Jan Ernst · Plainsboro, US
Patrick Reeb · Höchstadt an der Aisch, DE
Joachim Bamberger · Stockdorf, DE

Key dates

Filing date	Dec 21, 2017
Grant date	May 3, 2022
Priority date	—
Expiry date	Dec 21, 2037

Classification

Technology area (CPC G)Physics
CPC primaryG06V20/00
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.