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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It's the science of retrieving precise and reliable metric information from images. 3DOM investigates all the open issues in photogrammetry: oblique aerial cameras, automated image orientation, dense image matching, feature extractions, 3D model generation, automated inspection and control, etc.
Current and closed projects under this research line are listed below.
The activity wants to deploy advance image processing methods to derive 3D models from CT (Computer Tomography) data or photogrammetric acquisitions. 3D data are used for various purposes, such as virtual fitting of Total Artificial Hearth (TAH), brain analysis, etc.
The research aims to develop a reliable and automated procedure for the identification of image correspondences in large image blocks.
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.
The project aims to develop a quick, low-cost and efficient image-based methodology to update large scale maps of urban and rural areas starting from helicopter images.
CIEM (Cartographic Information Extraction and Management) deals with the automated extraction of geo-referenced data for a large variety of applications like urban and environmental planning, environmental monitoring, emergency assessment, change detection analyses, etc.
The investigation deals with automated image matching methods for the generation of dense and accurate point clouds from aerial and terrestrial imagery.
The project investigates the potential of high-resolution satellite imagery (WorldView, GeoEye, Pleiades, etc.) for mapping purposes. A testfield over the city of Trento has been realized to evaluate the potential of such images and the performances of processing solutions.
Various countries are digitizing their archives of aerial images as they are a unique and relatively unexplored means to analyze the territorial changes over the past 100 years with very high spatial resolution. In this activity we want to investigate the geo-processing of historical aerial images, including automatic geo-referencing, DSM generation, automatic detection of bomb craters and LULC maps generation.
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.