Visual Computing Lab

  The 360 dataset provides 360° color images of indoor scenes along with their corresponding ground truth depth annotations. This dataset is composed from renders of other publicly available textured 3D datasets of indoor scenes. Specifically, it contains renders from two Computer Generated (CG) datasets, SunCG, SceneNet, and two realistic ones, acquired by scanning indoor building, Stanford2D3D, and Matterport3D. The 360° renders are produced by utilizing a path-tracing renderer and placing a spherical camera and a uniform light source at…

Our paper “A System Architecture for Live Immersive 3D-Media Transcoding over 5G Networks” was presented at IEEE BMSB 2018.   A. Doumanoglou, N. Zioulis, D. Griffin, J. Serrano, T. Khoa Phan, D. Jimenez, D. Zarpalas, F. Alvarez, M. Rio, P. Daras, “A System Architecture for Live Immersive 3D-Media Transcoding over 5G Networks”, Workshop on Media delivery innovations using flexible network models in 5G, IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB18), Valencia, Spain, 6th – 8th June 2018…

Our paper “Subjective Quality Assessment of Textured Human Full-Body 3D Reconstructions” was presented at IEEE QoMEX 2018. A. Doumanoglou, N. Zioulis, E. Christakis, D. Zarpalas, P. Daras, “Subjective quality assessment of textured human full-body 3D-reconstructions”, International Conference on Quality of Multimedia Experience (QoMEX 2018), Sardinia, Italy, 29 May – 1 June 2018 View Publication

We demonstrate our technology via a prototype two player game that can support spectating in various devices like head mounted displays (VR) or tablet laptops (AR). Our system is easy to setup, requiring minimal non-technical human intervention, and relatively low cost taking one step ahead in making this technology available to the consumer public. A. Karakottas, A. Papachristou, A. Doumanoglou, N. Zioulis, D. Zarpalas, P. Daras,”Augmented VR”, IEEE VR, Reutlingen, Germany, 18-22 March 2018, https://www.youtube.com/watch?v=7O_TrhtmP5Q View Publication

Factory2Fit is a H2020 funded research and innovation project. Creating worker-centred solutions for factories of the future. Mr. Kostas Apostolakis, from Visual Computing Lab, demonstrates AR training solutions for workers of PrimaPower factory in Kauhava using HoloLens!     http://factory2fit.eu/   https://twitter.com/factory2fit_eu  

Press release 12/1/18   Management of Networked IoT Wearables – Very Large Scale Demonstration of Cultural and Security Applications Improve sound experience and safety at large, cultural events in the city   The innovation project MONICA will demonstrate how cities can use the Internet of Things to deal with sound, noise and security challenges at big, cultural, open-air events. A range of applications will be demonstrated in six major European cities involving more than 100.000 users in total. Imagine sound…

The Single RTDI State Aid Action “RESEARCH – CREATE – INNOVATE” support measure is funded by the Operational Programme Competitiveness, Entrepreneurship and Innovation 2014-2020 (EPAnEK). The measure aims to support research and innovation, technological development and demonstration at operating enterprises for the development of new or improved products, the development of synergies among enterprises, research and development centres and higher education sector as well as to support the patentability of research results and industrial property. In that context, the main objectives of…