collaborators

5 papers

eess.IV2024

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…

eess.IV2024

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…

eess.IV2024

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.…

eess.IV2024

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…

eess.IV2024

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…