The project aims to develop an innovative, portable and low-cost 3D modeling system for the digital reconstruction of human body parts.
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Automation in image orientation and dense point cloud reconstruction is reaching very high standards, but image quality is a fundamental pre-requisite to produce successful and photo-realistic 3D products. We investigate a productive pre-processing strategy, the various detector/descriptor operators for tie point extraction and dense matching algorithms to find out all open issues in the actual photogrammetric pipeline for 3D reconstruction purposes.
Dynamic Light is an Interreg - Central Europe project which focusses on reduction of CO2-emissions and enhancement of energy efficiency in public lighting. The project will demonstrate the process of how a city can implement energy efficient lighting starting from the 3D models, GIS data mining and analyses, simulation, strategy development, financial models, procurement rules, implementation and evaluation.
The project aims to digitally count, survey and map (in 2D and 3D) the numerous signs of miners of the Middle Age. Using high-resolution LiDAR data we can identify structures which are hidden below the vegetation. The Calisio Plateau near Trento is full of ancient mining activites for silver extraction which are slowly disappearing and not valorized.
Aim of this project is to provide support with the most advanced and modern 3D surveying and modelling techniques for a comparative and systematic study of different models of "Fernande", a cubist sculpture of Picasso.
Metric investigations and characterizations of 3D imaging sensors is fundamental to fully understand their performances and use them in the right way. We study digital cameras, 3D laser scanners, stripe projection systems, RGB-D sensors, etc. to investigate their performances and limitations, in particular for metric applications.
GRAPHOS is an ISPRS Scientific Initiative for the realization of an "All-Purpose Open-Source Photogrammetric Tool". The initiative aims to develop a common multi-purpose framework that integrates recent researches, algorithms and developments in all phases of the photogrammetric workflow.
We applied precise and reliable measurements - based on photogrammetry or active sensing - to manufacturing, quality control, inspection and product development.
ITN-DCH (Initial Training Network for Digital Cultural Heritage: Projecting our Past to the Future) is a Marie-Curie project with 14 partners and it aims to connect university, research centers, industries, Cultural Heritage stakeholders and end-user in order to collaborate and train the next generation of researchers in digital Cultural Heritage.
The project (LandslidE MOnitoriNg And Data intEgration) focuses on mass movements and particularly on landslides. LEMONADE, funded by EUREGIO, will consider and integrate different platforms (satellite, UAV, land-based), sensors (imaging, ranging, radar, etc.), techniques (photogrammetry, laser scanning, etc.) and algorithms to deliver an innovative fusion methodology applicable also to other application fields.
The research wants to investigate mobile systems for 3D surveying and modeling, including mobile mapping vans, mobile hand-held scanners, back-pack scanners, etc. System investigations and applications in urban and heritage scenarios are performed.
The project aims to investigate the potentialities of oblique aerial camera systems for building 3D reconstruction, cadaster applications, structural damage classification, land administration services, etc.
This project strives to preserve the memory of lost cultural heritage through the means of 3D digital reconstructions from crowdsourcing images. A web-based platform was created to use publicly-available data on the web to assist volunteers aiming to collaborate in the project.
REPLICATE - cReative-asset harvEsting PipeLine to Inspire Collective-AuThoring and Experimentation - will develop a multi-user, 3D-acquisition platform that can transform the real-world into new forms of creative-assets. REPLICATE is funded under the EU H2020 ICT-19-2015 call.
The project aims at developing a reliable methodology for the processing of aerial imagery for the derivation of high quality 3D data and energy audit. The partners will thus deliver innovative procedures and advanced solutions for the distribution of useful services to citizens and public administrations based on spatial information.
The project (Trento Citta' Fortezza - Festung Trient - Trento City Fortress) aims to create cartographic and multimedia products related to Trento City Fortress, i.e. the city of Trento fortified by the Austro-Hungarian army at the beginning of 1900 to defend it against a possible Italian attack (WWI).
The project aims to improve automated 3D reconstruction methods via vision metrology solutions. We want to demonstrate a step towards narrowing the gap between traditional Vision Metrology (VM) approaches and fully automated 3D reconstruction methods.