Description: The dataset was recorded during the ETN-FPI workshop on “Visual data capture” in Nov 2017 at the premises of Fraunhofer Institute for Integrated Circuits IIS in Erlangen by Faezeh Zakeri, Aron Cserkaszky, Sergio Moreschini, Gabriele Scrofani, and Christos Kaspiris-Rousellis. The footage has been preprocessed and calibrated using the Realception® plugins from Fraunhofer IIS. The dataset contains rectified images recorded by eight blackmagic cameras. The cameras were in 2 by 4 grid as follows: c0 c1 c2 c3
c4 c5 c6 c7 Each camera recorded a sequence of 370 images with 1080 x 1920 resolution and 8 bits per color. Images from each camera are stored in a separate folder - enumerated as c0, c1, ... c7. Images from camera c0 are also provided separately as a movie (avi) file. License:
Copyright (c) 2019, Fraunhofer IIS, Erlangen, Germany, and Centre for Immersive Visual Technologies (CIVIT), Tampere University, Finland.
All rights reserved. Academic use is free, please cite:
Title: ETN-FPI Black Magic Hat-Man Dataset
Authors: Faezeh Zakeri, Aron Cserkaszky, Sergio Moreschini, Gabriele Scrofani, and Christos Kaspiris-Rousellis
ETN-FPI workshop on “Visual data capture”, Nov 2017 @Misc{,
author = {Faezeh Zakeri and Aron Cserkaszky and Sergio Moreschini and Gabriele Scrofani and Christos Kaspiris-Rousellis},
title = {ETN-FPI Black Magic Hat-Man Dataset},
howpublished = {ETN-FPI workshop on “Visual data capture”},
month = nov,
year = {2019},
} THIS DATA SET IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Acknowledgement:
The preparation of this dataset was funded from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 676401, European Training Network on Full Parallax Imaging.

Description: The dataset was recorded during the ETN-FPI workshop on “Visual data capture” in Nov 2017 at the premises of Fraunhofer Institute for Integrated Circuits IIS in Erlangen by Faezeh Zakeri, Aron Cserkaszky, Sergio Moreschini, Gabriele Scrofani, and Christos Kaspiris-Rousellis. The footage has been preprocessed and calibrated using the Realception® plugins from Fraunhofer IIS. The dataset contains rectified images recorded by eight blackmagic cameras. The cameras were in 2 by 4 grid as follows: c0 c1 c2 c3
c4 c5 c6 c7 Each camera recorded a sequence of 370 images with 1080 x 1920 resolution and 8 bits per color. Images from each camera are stored in a separate folder - enumerated as c0, c1, ... c7. Images from camera c0 are also provided separately as a movie (avi) file. License:
Copyright (c) 2019, Fraunhofer IIS, Erlangen, Germany, and Centre for Immersive Visual Technologies (CIVIT), Tampere University, Finland.
All rights reserved. Academic use is free, please cite:
Title: ETN-FPI Black Magic Hat-Man Dataset
Authors: Faezeh Zakeri, Aron Cserkaszky, Sergio Moreschini, Gabriele Scrofani, and Christos Kaspiris-Rousellis
ETN-FPI workshop on “Visual data capture”, Nov 2017 @Misc{,
author = {Faezeh Zakeri and Aron Cserkaszky and Sergio Moreschini and Gabriele Scrofani and Christos Kaspiris-Rousellis},
title = {ETN-FPI Black Magic Hat-Man Dataset},
howpublished = {ETN-FPI workshop on “Visual data capture”},
month = nov,
year = {2019},
} THIS DATA SET IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Acknowledgement:
The preparation of this dataset was funded from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 676401, European Training Network on Full Parallax Imaging.