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Conference Papers Year : 2022

Direct alignment of narrow field-of-view hyperspectral data and full-view RGB image

Abstract

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.
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Dates and versions

hal-03715442 , version 1 (17-10-2022)

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Guillaume Caron, Suzan Joseph Kessy, Yasuhiro Mukaigawa, Takuya Funatomi. Direct alignment of narrow field-of-view hyperspectral data and full-view RGB image. IEEE International Conference on Image Processing (ICIP), Oct 2022, Bordeaux, France. pp.3201-3205, ⟨10.1109/ICIP46576.2022.9897872⟩. ⟨hal-03715442⟩
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