Demos / Downloads
In the area you can find selected downloads and demos.
To get more information according to downloads and video demonstrations, please visit the named project websites.
|Osnabrück — Synthetic Scalable Cube Dataset |
Voxel Based Dataset for Systematic 3D reconstruction by artificial neural networks (ANNs).
A synthetic scalable cube dataset for training, testing and validating ANNs for learning 3D reconstruction without any predefined object categories. This data set comprises 830000 different cubes captured from 12 different viewpoints.
Aim: Clarify whether and how ANNs might learn the underlying mathematical principle of multiple view geometry without object categories.
| Project Website |
Project Website SFN²
3x3x3 Cubes (100 000)
4x4x4 Cubes (300 000)
8x8x8 Cubes (430 000)
| Osnabrück - Gaze Tracking Data Set |
Gaze data on video stimuli for computer vision and visual analytics.
Converted 318 video sequences from several different gaze tracking data sets with polygon based object annotation all stored in the same format; allowing to visualize these data with standard multimedia players (e.g. VLC player).
| Project Website |
Real World Visual Processing
Açik et al. [A] dataset
Sundberg et al. [B] dataset
Coutrot & Guyader [C] dataset
Kurzhals et al. [K] dataset
Riche et al. [R] dataset
iSeg - the interactive annotation and segmentation tool.
(developed by J. Schöning and P. Faion 2016)
*If iSeg.exe does not start correctly, install Visual C++ Redistributable 2013 (vcredist_x64.exe)
|Project Website |
Interactive tool for color based segmentation.(JAVA plugin necessary)
(developed in a student software project at Stuttgart University by M. Bischof, J. Kaiser, S. Müller in 2010)
|DeGuM Web Application |
|Visual Analytics of Gaze Data with Standard Multimedia Players.||JEMR'17|
|Ventral Stream-Inspired Process for Deriving 3D Models from Video Sequences.||ICIAP'17|
|Providing Video Annotations in Multimedia Containers for Visualization and Research.||WACV'17|
|Exploratory Multimodal Data Analysis with Standard Multimedia Player --- Multimedia Containers: a Feasible Solution to make Multimodal Research Data Accessible to the Broad Audience.||VISAPP'17|
|Bio-Inspired Architecture for Deriving 3D Models from Video Sequences.||3DMA@ACCV'16|
|Eye Tracking Data in Multimedia Containers for Instantaneous Visualizations.||ETVIS'16|
|Interactive feature growing for accurate object detection in megapixel images.||EPIC@ECCV'16|
|Demo of iSeg - the interactive annotation and segmentation tool.||iSeg@ICPRAM'16 |
|Presentation of the ground truth annotation tool (developed in FOREST project).||FOREST (en) |
|Inter-Active Learning of Ad-Hoc Classifiers for Video Visual Analytics.||VAST'12|