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7 June 2024 A deep learning-based template matching through other field of view infrared image pair for real-time mixed reality
Seungeon Lee, Donyung Kim, Sungho Kim
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Proceedings Volume 13034, Real-Time Image Processing and Deep Learning 2024; 1303403 (2024) https://doi.org/10.1117/12.3013413
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States
Abstract
In this paper, we proposed a template matching technique using deep learning to match pairs of wide fields of view and narrow field of view infrared images. The Deep Learning network has a similar structure with the Atrous Spatial Pyramid Pooling (ASPP) module and both wide and narrow fields of view images are input to the same network, so the network weights are shared. Our experiments used the Galaxy S20 (Qualcomm Snapdragon 865) platform and show that the trained network has higher matching accuracy than other template matching techniques and is fast enough to be used in real time.
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Seungeon Lee, Donyung Kim, and Sungho Kim "A deep learning-based template matching through other field of view infrared image pair for real-time mixed reality", Proc. SPIE 13034, Real-Time Image Processing and Deep Learning 2024, 1303403 (7 June 2024); https://doi.org/10.1117/12.3013413
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KEYWORDS
Infrared imaging
Deep learning
Convolution
Computer vision technology
Infrared cameras
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