12 citations · 26 across the 8 of their papers we have counts for
6 papers · 1 filter
Improving Spherical Image Resampling through Viewport-Adaptivity
Andy Regensky, Viktoria Heimann, Ruoyu Zhang +1
The conversion between different spherical image and video projection formats requires highly accurate resampling techniques in order to minimize the inevitable loss of information…
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…
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…
Key Point Agnostic Frequency-Selective Mesh-to-Grid Image Resampling using Spectral Weighting
Viktoria Heimann, Nils Genser, André Kaup
Many applications in image processing require resampling of arbitrarily located samples onto regular grid positions. This is important in frame-rate up-conversion, super-resolution…
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,…