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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.02955 |
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| _version_ | 1866912464755490816 |
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| author | Dwith, C. Y. N. Ghassemi, Pejhman Pfefer, Joshua Casamento, Jon Wang, Quanzeng |
| author_facet | Dwith, C. Y. N. Ghassemi, Pejhman Pfefer, Joshua Casamento, Jon Wang, Quanzeng |
| contents | Fever screening based on infrared thermographs (IRTs) is a viable mass screening approach during infectious disease pandemics, such as Ebola and SARS, for temperature monitoring in public places like hospitals and airports. IRTs have found to be powerful, quick and non-invasive methods to detect elevated temperatures. Moreover, regions medially adjacent to the inner canthi (called the canthi regions in this paper) are preferred sites for fever screening. Accurate localization of the canthi regions can be achieved through multi-modal registration of infrared (IR) and white-light images. We proposed a registration method through a coarse-fine registration strategy using different registration models based on landmarks and edge detection on eye contours. We evaluated the registration accuracy to be within 2.7 mm, which enables accurate localization of the canthi regions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_02955 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Multimodal image registration for effective thermographic fever screening Dwith, C. Y. N. Ghassemi, Pejhman Pfefer, Joshua Casamento, Jon Wang, Quanzeng Computer Vision and Pattern Recognition Fever screening based on infrared thermographs (IRTs) is a viable mass screening approach during infectious disease pandemics, such as Ebola and SARS, for temperature monitoring in public places like hospitals and airports. IRTs have found to be powerful, quick and non-invasive methods to detect elevated temperatures. Moreover, regions medially adjacent to the inner canthi (called the canthi regions in this paper) are preferred sites for fever screening. Accurate localization of the canthi regions can be achieved through multi-modal registration of infrared (IR) and white-light images. We proposed a registration method through a coarse-fine registration strategy using different registration models based on landmarks and edge detection on eye contours. We evaluated the registration accuracy to be within 2.7 mm, which enables accurate localization of the canthi regions. |
| title | Multimodal image registration for effective thermographic fever screening |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2507.02955 |