European Projects Session
EU FP7 Project:Harvest4D
Session Details: Thurday May 12, 2016 – 14:00 – 14:30
Location: FIL Conference Congress, S4
EC-Projects@IMATI
Session Details: Thurday May 12, 2016 – 14:30 – 15:00
Location: FIL Conference Congress, S4
EU H2020 BEACONING
Session Details: Thurday May 12, 2016 – 15:00 – 15:30
Location: FIL Conference Congress, S4
EU FP7 Project:Harvest4D
Session Details: Thurday May 12, 2016 – 14:00 – 14:30
Location: FIL Conference Congress, S4
Project full title: “Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds”
Grant agreement no: 323567
Technical University of Vienna (Project leader)
Institute of Computer Graphics and Algorithms
Favoritenstrasse 9-11/186, 1040 Vienna
Project coordinator: Prof. Dr. Michael Wimmer (email: wimmer@cg.tuwien.ac.at)
Phone: +43 1 58801 18687, Fax: +43158801 18698
E-mail: harvest4d-info@cg.tuwien.ac.at
Webpage: www.harvest4d.org
The Harvest4D project is in the final phase. Our participation in the Eurographics conference 2016 is a best-practice dissemination activity to present the scientific community the highlights of the project and ongoing results.
Abstract: The current acquisition pipeline for visual models of 3D worlds is based on a paradigm of planning a goal-oriented acquisition – sampling on site – processing. The digital model of an artifact (an object, a building, up to an entire city) is produced by planning a specific scanning campaign, carefully selecting the (often costly) acquisition devices, performing the on-site acquisition at the required resolution and then post-processing the acquired data to produce a beautified triangulated and textured model. However, in the future we will be faced with the ubiquitous availability of sensing devices that deliver different data streams that need to be processed and displayed in a new way, for example smartphones, commodity stereo cameras, cheap aerial data acquisition devices, etc. We therefore propose a radical paradigm change in acquisition and processing technology: instead of a goal-driven acquisition that determines the devices and sensors, we let the sensors and resulting available data determine the acquisition process. Data acquisition might become incidental to other tasks that devices/people to which sensors are attached carry out. A variety of challenging problems need to be solved to exploit this huge amount of data, including: dealing with continuous streams of time-dependent data, finding means of integrating data from different sensors and modalities, detecting changes in data sets to create 4D models, harvesting data to go beyond simple 3D geometry, and researching new paradigms for interactive inspection capabilities with 4D data sets. In this project, we envision solutions to these challenges, paving the way for affordable and innovative uses of information technology in an evolving world sampled by ubiquitous visual sensors. Our approach is high-risk and an enabling factor for future visual applications. The focus is clearly on basic research questions to lay the foundation for the new paradigm of incidental 4D data capture.
EC-Projects@IMATI
Session Details: Thurday May 12, 2016 – 14:30 – 15:00
Location: FIL Conference Congress, S4
The Shape and Semantics Modelling Group at IMATI-CNR is quite active in research and development projects that involve 3D modelling and processing. These projects give the opportunity to apply research outcomes in a variety of application contexts, often bringing about new challenges and interesting research venues. We would like to present three ongoing projects, one FP7 and two H2020, which we believe could have the highest interest for EUROGRAPHICS attendance.
IQmulus – 2012 – 2016
http://www.iqmulus.eu
IQmulus – A High-volume Fusion and Analysis Platform for Geospatial Point Clouds, Coverages and Volumetric Data Sets – grant agreement 318 787 – Integrating Project – FP7 – Intelligent Information Management – ICT 2011.4.4 Challenge 4: Technologies for Digital Content and Languages
Consortium: SINTEF ICT (NO), FRAUNHOFER IGD (DE), CNR-IMATI (IT), M.O.S.S. Computer Grafik Systeme GmbH (DE), HR Wallingford Ltd (UK), FÖMI (HU), Univ. College London (UK), Delft Univ. of Technology (NL), IGN (FR), Univ. de Bretagne Occidentale (FR), IFREMER (FR), Regione Liguria (IT)
Objectives: New emerging data acquisition techniques provide fast and efficient means for multidimensional spatial data collection. All these systems provide point clouds, often enriched with other sensor data, yielding high volumes of raw data. The IQmulus project addresses the integration of cutting edge computational approaches for data processing and visualization in cloud infrastructures to make crucial information from large geospatial datasets available on time and to derive and visualize important knowledge for the relevant level of decision-making.
Keywords: point cloud processing, distributed processing of spatial data, feature extraction, change detection.
GRAVITATE – 2015-2018
http://www.gravitate-project.eu
GRAVITATE – Geometric Reconstruction and Novel Semantic Reunification of Cultural Heritage Objects– grant agreement 665155 – Research and Innovation Action – EC H2020 – Reflective-7-2014 Advanced 3D modelling for accessing and understanding European cultural assets
Consortium: IT Innovation (UK), Univ. of Amsterdam (NL), CNR-IMATI (IT), British Museum (UK, Cyprus Institute (CY), TECHNION (IL)
Objectives: Inspired by the needs of the Cultural Heritage community and the emerging trends of geometric and semantic research, the consortium will the creation of a set of software tools that will allow archaeologists and curators to reconstruct shattered or broken cultural objects, to identify and re-unify parts of a cultural object that has been separated across collections and to recognise associations between cultural artefacts that will allow new knowledge and understanding of past societies to be inferred.
Keywords: similarity matching, semantic search, complementarity and compatibility, feature analysis, classification
CAxMan – 2015-2018
http://www.caxman.eu
CAxMan – Computer Aided Technologies for Additive Manufacturing – grant agreement – Research and Innovation Action – EC H2020 –
Consortium: SINTEF (NO), Fraunhofer IGD (DE), DFKI (DE), CNR-IMATI (IT), CIMNE (ES), Missler Software (FR), Jotne (NO), BOC ASSET MANAGEMENT (AT), Arctur (Sl), STAM SRL (IT), TRIMEK SA (ES), Tronrud Engineering (NO), NOVATRA (FR)
Objectives: High-tech software for engineers is expensive and, in many cases, small and medium-sized enterprises (SMEs) do not make use of it on a regular basis. For additive manufacturing, dedicated tools for Computer Aided Technologies (CAx) are fragmented, and in many important aspects, rudimentary. CAxMan targets the establishment of novel workflows and services for discrete manufacturing (combinations of additive and subtractive) addressing the needs of SMEs.
The workflows will include analysis-/simulation-based design, analysis/simulation of process planning, The results will be showcased as Cloud based services and Workflows in the Cloud for two use cases from design to production of physical prototypes.
Keywords: 3D printing, process plan, simulation-based design
EU H2020 BEACONING
http://beaconing.eu/
Session Details: Thurday May 12, 2016 – 15:00 – 15:30
Location: FIL Conference Congress, S4
Abstract: stands for ‘Breaking Educational Barriers with Contextualised, Pervasive and Gameful Learning’. The project aims to exploit and integrate pervasive, context-aware and gamified techniques and technologies, framed within the Problem-Based Learning context towards facilitating ‘anytime anywhere’ learning.
BEACONING sets a forefront in multifaceted education technologies through large-scale piloting of a digital learning platform that blends physical and digital spaces. As innovation action strategies, pilots combine opportunities for new ICTs in multiple ways that merge learning acquired in formal, non-formal and informal means, developing the skills for today’s abled and disabled learners and workforce.
The BEACONING platform will be a ubiquitous solution that exploits advances in user experience design, mobile communication, location-based and context aware systems, procedural content generation, pedagogy-driven gamification, learning analytics and cloud technology through innovative integration towards a blended learning space.
BEACONING anticipates the benefits of making cross-subject matter more understandable, fostering the application of subject specialism to other domains. The pilot substantiates the technical and economic viability and the impact of the innovative platform to strategise market adoption and replication. By integrating experiences in a highly engaging, contextualized and personalised manner, learning can go beyond the barriers of space and time.