- 3D Surveying and Cultural Heritage
- Remote Sensing and LiDAR Applications
- Robotics and Sensor-Based Localization
- Advanced Vision and Imaging
- Satellite Image Processing and Photogrammetry
- Archaeological Research and Protection
- Advanced Image and Video Retrieval Techniques
- Optical measurement and interference techniques
- Conservation Techniques and Studies
- Image Processing and 3D Reconstruction
- 3D Modeling in Geospatial Applications
- 3D Shape Modeling and Analysis
- Computer Graphics and Visualization Techniques
- Underwater Vehicles and Communication Systems
- Advanced Optical Sensing Technologies
- Advanced Neural Network Applications
- Cultural Heritage Management and Preservation
- Augmented Reality Applications
- Remote Sensing in Agriculture
- Anatomy and Medical Technology
- Human Pose and Action Recognition
- Indoor and Outdoor Localization Technologies
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Industrial Vision Systems and Defect Detection
Fondazione Bruno Kessler
2016-2025
Kessler Foundation
2008-2021
Politecnico di Milano
2021
Sapienza University of Rome
2021
Skolkovo Institute of Science and Technology
2020
University College London
2018
Universidad de Salamanca
2018
National Technical University of Athens
2018
Institut national de recherche en informatique et en automatique
2018
GeoInformation (United Kingdom)
2016
The importance of landscape and heritage recording documentation with optical remote sensing sensors is well recognized at international level. continuous development new sensors, data capture methodologies multi-resolution 3D representations, contributes significantly to the digital documentation, mapping, conservation representation landscapes heritages growth research in this field. This article reviews actual measurement modeling techniques, their limitations potentialities, requirements...
Unmanned Aerial Vehicles (UAV)-based remote sensing offers great possibilities to acquire in a fast and easy way field data for precision agriculture applications. This of study is rapidly increasing due the benefits advantages farm resources management, particularly studying crop health. paper reports some experiences related analysis cultivations (vineyards tomatoes) with Tetracam multispectral data. The camera was mounted on multi-rotor hexacopter. were processed photogrammetric pipeline...
Abstract. UAV platforms are nowadays a valuable source of data for inspection, surveillance, mapping and 3D modeling issues. New applications in the short- close-range domain introduced, being UAVs low-cost alternatives to classical manned aerial photogrammetry. Rotary or fixed wing UAVs, capable performing photogrammetric acquisition with amateur SLR digital cameras, can fly manual, semi-automated autonomous modes. With typical pipeline, results like DSM/DTM, contour lines, textured models,...
Abstract Image matching has a history of more than 50 years, with the first experiments performed analogue procedures for cartographic and mapping purposes. The recent integration computer vision algorithms photogrammetric methods is leading to interesting which have increasingly automated entire image‐based 3D modelling process. one key steps in mapping. This paper presents critical review analysis four dense image‐matching algorithms, available as open‐source commercial software,...
Camera calibration has always been an essential component of photogrammetric measurement, with self-calibration nowadays being integral and routinely applied operation within triangulation, especially in high-accuracy close-range measurement. With the very rapid growth adoption off-the-shelf digital cameras for a host new 3D measurement applications, however, there are many situations where geometry image network will not support robust recovery camera parameters via on-the-job calibration....
Abstract. The number of scientific studies that consider possible applications remotely piloted aircraft systems (RPASs) for the management natural hazards effects and identification occurred damages strongly increased in last decade. Nowadays, community, use these is not a novelty, but deeper analysis literature shows lack codified complex methodologies can be used only experiments also normal emergency operations. RPASs acquire on-demand ultra-high-resolution images active processes such...
In recent years, the use of 3D models in cultural and archaeological heritage for documentation dissemination purposes is increasing. The association heterogeneous information to data by means automated segmentation classification methods can help characterize, describe better interpret object under study. Indeed, high complexity along with large diversity assets themselves have constituted as currently active research topics. Although machine learning brought great progress this respect,...
This paper presents a critical analysis of image-based 3D reconstruction using neural radiance fields (NeRFs), with focus on quantitative comparisons respect to traditional photogrammetry. The aim is, therefore, objectively evaluate the strengths and weaknesses NeRFs provide insights into their applicability different real-life scenarios, from small objects heritage industrial scenes. After comprehensive overview photogrammetry NeRF methods, highlighting respective advantages disadvantages,...
The importance of cultural and natural heritage documentation is well recognized at international level, there an increasing pressure to document preserve also digitally. continuous development new sensors, data capture methodologies, multi-resolution 3D representations the improvement existing ones can contribute significantly documentation, conservation, digital presentation heritages growth research in this field. article reviews some important requirements specifications, actual...
Abstract In this paper an automated methodology is presented (i) to orient a set of close‐range images captured with calibrated camera, and (ii) extract dense accurate point clouds starting from the estimated orientation parameters. The whole procedure combines different algorithms techniques in order obtain 3D reconstructions automatic way. exterior parameters are using photogrammetric bundle adjustment image correspondences detected area‐ feature‐based matching algorithms. Surface...
Abstract In the valley of Bamiyan, Afghanistan, approximately 1700 years ago, two large standing Buddha statues were carved out sedimentary rock region. They 53 and 38 m high larger one figured as tallest representation a in world. March 2001 Taleban government militia demolished colossal statues. After destruction group from ETH Zürich completed computer reconstruction Great Buddha, which can serve basis for physical reconstruction. This paper reports results image‐based 3D statue,...
This article reports on a multi-resolution and multi-sensor approach developed for the accurate detailed 3D modeling of entire Roman Forum in Pompei, Italy. The archaeological area, approximately 150 × 80 m, contains more than 350 finds spread all over forum as well larger mural structures previous buildings temples. interdisciplinary work consists multi-scale image- range-based digital documentation method to fulfill surveying needs exploit intrinsic potentialities actual techniques. data...
Range imaging is a new suitable choice for measurement and modeling in many different applications. But due to the technology’s relatively appearance on market with few realizations, knowledge of its capabilities very low. In most applications, like robotics systems, accuracy wanted, lies at some millimeters. The raw data range cameras do not reach this level. Therefore, calibration sensors output needed. paper parameters which influence behavior performance camera SwissRanger (provided by...
Abstract. Airborne high resolution oblique imagery systems and RPAS/UAVs are very promising technologies that will keep on influencing the development of geomatics in future years closing gap between terrestrial classical aerial acquisitions. These two platforms also a solution for National Mapping Cartographic Agencies (NMCA) as they allow deriving complementary mapping information. Although interest registration integration data is constantly increasing, only limited work has been truly...
The accurate 3D documentation of architectures and heritages is getting very common required in different application contexts. potentialities the image-based approach are nowadays well-known but there a lack reliable, precise flexible solutions, possibly open-source, which could be used for metric or digital conservation not only simple visualization web-based applications. article presents set photogrammetric tools developed order to derive point clouds orthoimages digitization...
In recent years semantic segmentation of 3D point clouds has been an argument that involves different fields application. Cultural heritage scenarios have become the subject this study mainly thanks to development photogrammetry and laser scanning techniques. Classification algorithms based on machine deep learning methods allow process huge amounts data as clouds. context, aim paper is make a comparison between for large cultural classification. Then, considering best performances both...