Direct Alignment Of Narrow Field-Of-View Hyperspectral Data And Full-View Rgb Image

The novelty of this paper is the alignment method of narrow field-of-view hyperspectral images to full-view RGB images. The interest is to locate hyperspectral measurements in an environment described by an equirectangular image. But the very different modalities (3 vs. hundreds of channels) and fie...

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Vydané v:Proceedings - International Conference on Image Processing s. 3201 - 3205
Hlavní autori: Caron, Guillaume, Kessy, Suzan Joseph, Mukaigawa, Yasuhiro, Funatomi, Takuya
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 16.10.2022
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Direct alignment
Hyperspectral imaging
Image processing
Imaging
Lighting
Optimization
ISSN:2381-8549
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Shrnutí:The novelty of this paper is the alignment method of narrow field-of-view hyperspectral images to full-view RGB images. The interest is to locate hyperspectral measurements in an environment described by an equirectangular image. But the very different modalities (3 vs. hundreds of channels) and fields-of-view are challenges for accurate alignment. We solve these problems within a dense direct alignment framework that optimizes the warping parameters together with those of a global illumination difference model. Our alignment code is shared with an example dataset available at github.com/jrl-umi3218/hsrgbalign.
ISSN:2381-8549
DOI:10.1109/ICIP46576.2022.9897872