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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Precise optical measurements, based on active and passive sensors, are employed in industrial inspections, videometrics and machine vision. We focus on the latest R&D for solving problems in industrial engineering, multimedia technology, indoor mapping, architecture, archaeology, 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.
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.
The research activity investigate innovate optical metrology methods for manufacturing inspection, quality control and production monitoring. We focus on texture-less and non-collaborative surfaces, normally problematic for inspections based on optical methods.
The project wants to realize a methodology to integrate 3D surveying data with IR imaging to metrically evaluate heatis looses from building facades.
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 is an interdisciplinary work based on optical metrology and 3D reverse engineering techniques in the maritime field for the support of shipbuilding firms, naval architects and designers. Geometric investigations of consumer-grade underwater cameras are also considered.
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.
The project deals with the 3D surveying of metal bridges by means of range-based and X-based sensors. The integration of both information helps to better monitor movements, deformations and internal stresses of metal structures.