most citedFrequency-Selective Mesh-to-Mesh Resampling for Color Upsampling of Point Clouds

12 citations · 26 across the 8 of their papers we have counts for

collaborators

8 papers

eess.IV2023

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…

cs.CV2023

Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support

Viktoria Heimann, Andreas Spruck, André Kaup

With the increasing demand of capturing our environment in three-dimensions for AR/ VR applications and autonomous driving among others, the importance of high-resolution point clo…

eess.IV2022★ 3 cited

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…

eess.IV2022

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…

cs.CV2022★ 1 cited

Increasing the Accuracy of a Neural Network Using Frequency Selective Mesh-to-Grid Resampling

Andreas Spruck, Viktoria Heimann, André Kaup

Neural networks are widely used for almost any task of recognizing image content. Even though much effort has been put into investigating efficient network architectures, optimizer…

eess.IV2022★ 5 cited

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…

eess.IV2022★ 5 cited

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…

eess.IV2022★ 12 cited

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,…