Method and system for object classification using visible and invisible light images
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United States of America Patent
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Aug 24, 2021
Grant Date -
Aug 22, 2019
app pub date -
Feb 19, 2019
filing date -
Feb 19, 2018
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Abstract
Methods, systems, and techniques for classifying and/or detecting objects using visible and invisible light images. A visible light image and an invisible light image are received at a convolutional neural network (CNN). The visible light image depicts a region-of-interest imaged using visible light. The invisible light image depicts at least a portion of the region-of-interest imaged using invisible light, and at least one of the images depicts an object-of-interest within the portion of the region-of-interest shared between the images. The CNN then classifies and/or detects the object-of-interest using the images. The CNN may be trained to perform this classification and/or detection using pairs of visible and invisible light training images.
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