US 11,875,544 B2
Annotation of infrared images for machine learning using beamsplitter-based camera system and methods
Austin A. Richards, Goleta, CA (US); and Andres Prieto-Moreno, Goleta, CA (US)
Assigned to Teledyne FLIR Commercial Systems, Inc., Goleta, CA (US)
Filed by Teledyne FLIR Commercial Systems, Inc., Goleta, CA (US)
Filed on Apr. 30, 2021, as Appl. No. 17/246,303.
Claims priority of provisional application 63/018,019, filed on Apr. 30, 2020.
Prior Publication US 2021/0342648 A1, Nov. 4, 2021
Int. Cl. G06V 10/143 (2022.01); G06T 7/37 (2017.01); G06V 10/24 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06F 18/24 (2023.01); H04N 23/62 (2023.01)
CPC G06V 10/143 (2022.01) [G06F 18/24 (2023.01); G06T 7/37 (2017.01); G06V 10/24 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); H04N 23/62 (2023.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method comprising:
simultaneously capturing a pair of images of a scene comprising an infrared image of the scene and a visible image of the scene, wherein the pair of images is captured from substantially a same perspective through separate optical paths of a beamsplitter;
aligning 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, and both corresponding pixels represent the same position in the scene;
classifying the visible image, including an identification of one or more objects in the visible image;
classifying the infrared image, including an identification of one or more objects present in the infrared image;
annotating the infrared image based, at least in part, on the classification of the visible image and the classification of the infrared image; and
adding the annotated infrared image to a neural network training dataset for use in training a neural network for infrared image classification.