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Universities, R&D Groups and Academic Networks

VISIGRAPP is a unique forum for universities, research groups and research projects to present their research and scientific results, be it by presenting a paper, hosting a tutorial or instructional course or demonstrating its research products in demo sessions, by contributing towards panels and discussions in the event's field of interest or by presenting their project, be it by setting up an exhibition booth, by being profiled in the event's web presence or printed materials or by suggesting keynote speakers or specific thematic sessions.

Special conditions are also available for Research Projects which wish to hold meetings at INSTICC events.

Current Academic Partners:

Shape Analysis Modalities in the Harvest4D Project

The current acquisition pipeline for visual models of 3D worlds is time consuming and costly: The digital model of an artifact (an object, a building, an entire city) is produced by planning a specific scanning campaign, carefully selecting the acquisition devices, performing the onsite 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 goaldriven acquisition, in which the position and type of devices and sensors to be used are determined ahead of the process, we let the available sensors (smartphones, stereo scanners, etc.) and resulting incoming data (photos, videos, gps,...) guide and optimize the acquisition process.


The overall goal of the DURAARK project is the development of tools and methods for sustainable long-term preservation of architectural 3D data. It exploits state of the art semantic web technologies to ensure consistency, reliability, and future-proof reusability of archived data. Additionally, it covers and exploits a broad spectrum of representations used for architectural information, ranging from low-level 3D point-clouds up to highly annotated 3D BIM models and semantic metadata. We will give an overview over the project and present examples of semantic metadata enrichment and geometric enrichment of BIM with "as built" information from scans.