IR image databases generation under target intrinsic thermal variability constraints
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866909385992699904 |
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| author | Gilles, Jerome Landeau, Stephane Dagobert, Tristan Chevalier, Philippe Bolut, Christian |
| author_facet | Gilles, Jerome Landeau, Stephane Dagobert, Tristan Chevalier, Philippe Bolut, Christian |
| contents | This paper deals with the problem of infrared image database generation for ATR assessment purposes. Huge databases are required to have quantitative and objective performance evaluations. We propose a method which superimpose targets and occultants on background under image quality metrics constraints to generate realistic images. We also propose a method to generate target signatures with intrinsic thermal variability based on 3D models plated with real infrared textures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_07577 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | IR image databases generation under target intrinsic thermal variability constraints Gilles, Jerome Landeau, Stephane Dagobert, Tristan Chevalier, Philippe Bolut, Christian Computer Vision and Pattern Recognition This paper deals with the problem of infrared image database generation for ATR assessment purposes. Huge databases are required to have quantitative and objective performance evaluations. We propose a method which superimpose targets and occultants on background under image quality metrics constraints to generate realistic images. We also propose a method to generate target signatures with intrinsic thermal variability based on 3D models plated with real infrared textures. |
| title | IR image databases generation under target intrinsic thermal variability constraints |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2411.07577 |