12 citations · 43 across the 10 of their papers we have counts for
6 papers · 1 filter
Frame Rate Up-Conversion Using Key Point Agnostic Frequency-Selective Mesh-to-Grid Resampling
Viktoria Heimann, Andreas Spruck, André Kaup
High frame rates are desired in many fields of application. As in many cases the frame repetition rate of an already captured video has to be increased, frame rate up-conversion (F…
Jointly Resampling and Reconstructing Corrupted Images for Image Classification using Frequency-Selective Mesh-to-Grid Resampling
Viktoria Heimann, Andreas Spruck, André Kaup
Neural networks became the standard technique for image classification throughout the last years. They are extracting image features from a large number of images in a training pha…
Quality Assurance of Weld Seams Using Laser Triangulation Imaging and Deep Neural Networks
Andreas Spruck, Jürgen Seiler, Michael Roll +3
In this paper, a novel optical inspection system is presented that is directly suitable for Industry 4.0 and the implementation on IoT-devices controlling the manufacturing process…
Motion-Adapted Three-Dimensional Frequency Selective Extrapolation
Andreas Spruck, Markus Jonscher, JÜrgen Seiler +1
It has been shown, that high resolution images can be acquired using a low resolution sensor with non-regular sampling. Therefore, post-processing is necessary. In terms of video d…
Frequency-Selective Geometry Upsampling of Point Clouds
Viktoria Heimann, Andreas Spruck, André Kaup
The demand for high-resolution point clouds has increased throughout the last years. However, capturing high-resolution point clouds is expensive and thus, frequently replaced by u…
Frequency-Selective Mesh-to-Mesh Resampling for Color Upsampling of Point Clouds
Viktoria Heimann, Andreas Spruck, André Kaup
With the increased use of virtual and augmented reality applications, the importance of point cloud data rises. High-quality capturing of point clouds is still expensive and thus,…