Author: Andreas Maier

Here, we provide the data sets used in our research on multi-sensor super-resolution for hybrid range imaging. In the current state, the database contains synthetic as well as real datasets acquired for different applications and modalities (e.g. hybrid 3-D endoscopy based on Ti...

Here, we present the 25 frames used for situs reconstruction in our MICCAI publication ("3-D Operation Situs Reconstruction With Time-of-Flight Satellite Cameras Using Photogeometric Data Fusion"). The single frames are included as vtk files and the complete sequence with all frames is included as ...

We have created a database of five cell lines in order to assess the performance of cell detection algorithms. The database is composed of more than 3500 cells in 16 images of three real cell lines and 30000 cells in 200 images of two simulated cell lines. Download and more information

RabbitCT is an open-source benchmark for C-arm CT FBP reconstruction. It features a clincal C-arm CT dataset with 496 projections, and a software framework for measuring execution time and calculating reconstruction errors.For more information please visit www.rabbitct.com.

The main goal of CAVAREV is to enable an easy and objective comparison of different dynamic reconstruction algorithms. The area of application is the 3-D and 4-D reconstruction of contrasted cardiac vessels, e.g. the coronary arteries using C-arm CT (rotational angiography). Various me...

A ground truth dataset for benchmarking the detection of image tampering artifacts. This dataset contains 96 images in various stages from original to manipulated, as well as the respective tampered parts. Also available is a software framework for a fine-grained control over combinations of var...

In this dataset we provide 32 segmentation tasks in nine images of the CAVE Multispectral Image Database. The dataset includes hand-labeled ground-truth data and seed-points for each task as well as segmentation results of several algorithms. The dataset can be found her...

Color constancy algorithms under non-uniform illumination are particularly hard to evaluate. Ground truth illumination measurements are either inaccurate or only sparsely set in the scene. We provide a dataset of four scenes, captured under combinations of 6 spectral filters. After the capturing, t...

The Digital Brain Perfusion Phantom package provides data and Matlab tools to create a realistic digital 4D brain phantom, in particular for reproducible evaluation of reconstruction algorithms using non-linear regularization for perfusion CT and perfusion C-arm CT. It is based on the Realistic Dig...

Various approaches for movement analysis have been proposed in literature. Up to date, it is not clear which solution is outperforming the others. The provision of benchmark datasets are mandatory for research groups. This could enhance and speed up the process of getting the best performing and mo...