There and Back Again: Self-supervised Multispectral Correspondence Estimation
Celyn Walters Oscar Mendez Mark Johnson Richard Bowden Celyn Walters Oscar Mendez Mark Johnson Richard Bowden
Across a wide range of applications, from autonomous vehicles to medical imaging, multi-spectral images provide an opportunity to extract additional information not present in color images. One of the most important steps in making this information readily available is the accurate estimation of dense correspondences between different spectra.Due to the nature of cross-spectral images, most corres...