Machine learning assisted image prediction

• Main Authors: GNOTH THOMAS, SCULLY SHAWN R, WATSON, KIM, R, JOSHI SHAILESH VISHWANATH, SRIDHAR SEETHARAMAN, GATTIS, LAURA, A, HAMSCHITZ OLIVER CHRISTIAN, VEGA, KEVIN, P, GUSTLIN CHARLES E, LAWSON GREGORY MARK
• Format: Patent
• Language: Chinese; English
• Published: 30.08.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention relates to machine learning assisted image prediction. An apparatus implementing a system for providing a predicted RGB image includes at least one processor configured to acquire an infrared image of a subject and acquire a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model that has been trained to output a predicted RGB image of the subject based on the infrared image and the reference RGB image of the subject. The at least one processor is further configured to provide a predicted RGB image of the subject based on an output of the machine learning model. 本公开涉及机器学习辅助的图像预测。本发明公开了一种实现用于提供预测的RGB图像的系统的设备，该设备包括至少一个处理器，该至少一个处理器被配置为获取被摄体的红外图像并且获取被摄体的参考RGB图像。该至少一个处理器被进一步配置为将红外图像和参考RGB图像提供给机器学习模型，该机器学习模型已被训练为基于被摄体的红外图像和参考RGB图像来输出被摄体的预测的RGB图像。该至少一个处理器被进一步配置为基于机器学习模型的输出来提供被摄体的预测的RGB图像。