Toderici G.,University of Houston |
Passalis G.,University of Houston |
Passalis G.,National and Kapodistrian University of Athens |
Zafeiriou S.,Imperial College London |
And 6 more authors.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | Year: 2010
In this paper, we present a new method for bidirectional relighting for 3D-aided 2D face recognition under large pose and illumination changes. During subject enrollment, we build subject-specific 3D annotated models by using the subjects' raw 3D data and 2D texture. During authentication, the probe 2D images are projected onto a normalized image space using the subject-specific 3D model in the gallery. Then, a bidirectional relighting algorithm and two similarity metrics (a view-dependent complex wavelet structural similarity and a global similarity) are employed to compare the gallery and probe. We tested our algorithms on the UHDB11 and UHDB12 databases that contain 3D data with probe images under large lighting and pose variations. The experimental results show the robustness of our approach in recognizing faces in difficult situations. ©2010 IEEE.
Georgiadis L.,A.U.Th |
Paschos G.S.,ITI CERTH |
Tassiulas L.,UTH |
Libman L.,University of New South Wales
2012 IEEE Information Theory Workshop, ITW 2012 | Year: 2012
We consider a system where jobs (packets) arrive for processing using one of the policies in a given class. We study the connection between the minimal evacuation times and the stability region of the system under the given class of policies. The result is used to establish the equality of information theoretic capacity region and system stability region for the multiuser broadcast erasure channel with feedback. © 2012 IEEE.
Novak J.,European Institute for Participatory Media |
Novak J.,Stralsund University of Applied Sciences |
Bozzon A.,Technical University of Delft |
Fraternali P.,Polytechnic of Milan |
And 4 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015
This workshop aims at bringing together researchers and practitioners from different disciplines to explore the challenges and opportunities of novel approaches to collective intelligence, crowdsourcing and human computation that address social aspects as a core element of their design principles, implementations or scientific investigation. © Springer International Publishing Switzerland 2015.
Hilbring D.,Fraunhofer Institute for Optronics, System Technologies and Image Exploitation |
Moumtzidou A.,ITI CERTH |
Mossgraber J.,Fraunhofer Institute for Optronics, System Technologies and Image Exploitation |
Vrochidis S.,ITI CERTH
Transactions in GIS | Year: 2014
Many kinds of environmental data are nowadays publicly available, but spread over the web. This article discusses using the Sensor Observation Service (SOS) standard of the Open Geospatial Consortium (OGC) as a common interface for providing data from heterogeneous sources which can be integrated to a user tailored environmental information system. In order to allow for providing user-tailored and problem-specific information the adjusted SOS is augmented by a semantic layer which maps the environmental information to ontology concepts. The necessary information fusion from different domains and data types lead to several specific requirements for the SOS. Addressing these requirements we have implemented a SOS which still conforms to the OGC SOS 1.0.0 standard specification. The developed SOS has been integrated in a publicly available demonstrator of our personalized environmental information system. Additionally this article discusses future consequences for the SOS, caused by the recently published SOS 2.0 specification. © 2013 John Wiley & Sons Ltd.
Destelle F.,Dublin City University |
Ahmadi A.,Dublin City University |
Moran K.,Dublin City University |
O'Connor N.E.,Dublin City University |
And 10 more authors.
MM 2015 - Proceedings of the 2015 ACM Multimedia Conference | Year: 2015
We present a demonstration of a multi-modal 3D captur-ing platform coupled to a motion comparison system. This work is focused on the preservation of Traditional Sports and Games, namely the Gaelic sports from Ireland and Basque sports from France and Spain. Users can learn, compare and compete in the performance of sporting gestures and compare themselves to real athletes. Our online gesture database provides a way to preserve and display a wide range of sporting gestures. The capturing devices utilised are Kinect 2 sensors and wearable inertial sensors, where the number required varies based on the requested scenario. The fusion of these two capture modalities, coupled to our inverse kinematic algorithm, allow us to synthesize a fluid and reliable 3D model of the user gestures over time. Our novel comparison algorithms provide the user with a per-formance score and a set of comparison curves (i.e. joint angles and angular velocities), providing a precise and valu-able feedback for coaches and players. © 2015 ACM.