8 citations · 33 across the 10 of their papers we have counts for
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Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera Arrays
Frank Sippel, Jürgen Seiler, André Kaup
Multispectral imaging is very beneficial in diverse applications, like healthcare and agriculture, since it can capture absorption bands of molecules in different spectral areas. A…
High-Resolution Hyperspectral Video Imaging Using A Hexagonal Camera Array
Frank Sippel, Jürgen Seiler, André Kaup
Retrieving the reflectance spectrum from objects is an essential task for many classification and detection problems, since many materials and processes have a unique spectral beha…
Multispectral Snapshot Image Registration Using Learned Cross Spectral Disparity Estimation and a Deep Guided Occlusion Reconstruction Network
Frank Sippel, Jürgen Seiler, André Kaup
Multispectral imaging aims at recording images in different spectral bands. This is extremely beneficial in diverse discrimination applications, for example in agriculture, recycli…
A Guided Upsampling Network for Short Wave Infrared Images Using Graph Regularization
Frank Sippel, Jürgen Seiler, André Kaup
Exploiting the infrared area of the spectrum for classification problems is getting increasingly popular, because many materials have characteristic absorption bands in this area.…
Color Agnostic Cross-Spectral Disparity Estimation
Frank Sippel, Nils Genser, Hannah Och +2
Since camera modules become more and more affordable, multispectral camera arrays have found their way from special applications to the mass market, e.g., in automotive systems, sm…
Cross Spectral Image Reconstruction Using a Deep Guided Neural Network
Frank Sippel, Jürgen Seiler, André Kaup
Cross spectral camera arrays, where each camera records different spectral content, are becoming increasingly popular for RGB, multispectral and hyperspectral imaging, since they a…