8 citations · 38 across the 12 of their papers we have counts for
12 papers
Disparity Estimation of Planar Reflective Surfaces Using Specular Reflections From a Single Light Source
Katja Kossira, Frank Sippel, Jürgen Seiler +1
Multi-camera imaging and camera arrays have become ubiquitous in many applications, such as autonomous driving, robot control, or virtual reality, and accurate disparity maps of ob…
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…
Synthetic Hyperspectral Array Video Database with Applications to Cross-Spectral Reconstruction and Hyperspectral Video Coding
Frank Sippel, Jürgen Seiler, André Kaup
In this paper, a synthetic hyperspectral video database is introduced. Since it is impossible to record ground truth hyperspectral videos, this database offers the possibility to l…
Hyperspectral Image Reconstruction from Multispectral Images Using Non-Local Filtering
Frank Sippel, Jürgen Seiler, André Kaup
Using light spectra is an essential element in many applications, for example, in material classification. Often this information is acquired by using a hyperspectral camera. Unfor…
Spatio-spectral Image Reconstruction Using Non-local Filtering
Frank Sippel, Jürgen Seiler, André Kaup
In many image processing tasks it occurs that pixels or blocks of pixels are missing or lost in only some channels. For example during defective transmissions of RGB images, it may…
Structure-Preserving Spectral Reflectance Estimation using Guided Filtering
Frank Sippel, Jürgen Seiler, Nils Genser +1
Light spectra are a very important source of information for diverse classification problems, e.g., for discrimination of materials. To lower the cost for acquiring this informatio…
Optimal Filter Selection for Multispectral Object Classification Using Fast Binary Search
Frank Sippel, Jürgen Seiler, André Kaup
When designing multispectral imaging systems for classifying different spectra it is necessary to choose a small number of filters from a set with several hundred different ones. T…