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ANNOTATION OF INFRARED IMAGES FOR MACHINE LEARNING USING BEAMSPLITTER-BASED CAMERA SYSTEM AND METHODS
ANNOTATION OF INFRARED IMAGES FOR MACHINE LEARNING USING BEAMSPLITTER-BASED CAMERA SYSTEM AND METHODS
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机译:基于Beamsplitter的相机系统和方法向机器学习的红外图像注释
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摘要
Systems and methods include an infrared camera configured to capture an infrared image of a scene, a visible light camera configured to capture a visible light image of the scene, and a logic device configured to simultaneously capture a pair of images of the scene comprising the infrared image of the scene and the visible image of the scene, align the pair of images so that a pixel location in one of the pair of images has a corresponding pixel location in the other image, classify the visible image, annotate the infrared image based, at least in part, on the classification of the visible image, and add the annotated infrared image to a neural network training dataset for use in training a neural network for infrared image classification.
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