Workshops

Sunday, 25th June will be all dedicated to the pre-Symposium workshops

General remarks:

  • The workshops will be organised in two sessions, as reported in the calendar below

  • Subscriptions are available from the Registration page

  • Registrations will be possible until 20th April 2023

  • It is possible to register for a maximum of two workshops per person


The workshop fee is 60 € per person.

W1 - Underwater photogrammetry for mapping, documenting, and preserving submerged heritage

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Lecturers: Fabio Menna, Erica Nocerino

Short description: Water covers two-thirds of the earth’s surface with an average depth of more than 3500 m and a maximum depth of almost 11000 m (the Mariana Trench), far greater than the highest peak of the world (the mount Everest with nearly 9000 m). In the depts of inland, coastal, and open waters are hidden vestiges of past societies, which have always been the subject of fascination and investigation. Underwater photogrammetry is one of the most flexible and widely employed techniques for detailed mapping and 3D modelling in archaeology and environmental studies. This tutorial aims at proving the participants with an introduction to the crucial aspects of underwater photogrammetry as 3D surveying technique and independent methods for the assessment of its accuracy potential. We will go through a brief history of underwater photogrammetry and its key developments, the optical fundamentals of underwater imaging, camera calibration approaches like implicit vs explicit modelling of refraction and their influence on the accuracy of the derived 3D photogrammetric products.

Lecture time: 4h

Target audience: PhD students, researchers, and practitioners. Participants may bring their own computer if they wish to run live demos

Level: beginner to intermediate. A prior knowledge of photogrammetry, surveying and positioning techniques would be a plus

Maximum number of participants: 20

W2 - Which values do your pixels have? Theory and practice of colour-accurate photography

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Lecturers: Verhoeven Geert, Adolfo Molada Tebar

Short description: Digital cameras are complex and tricky beasts, but the same holds for the science of colour. Bring both together, and a world with hard-to-digest concepts and many half-truths is born. This workshop aims to provide participants with an understanding of the realistically-attainable accuracy of camera colours. To that end, the workshop will describe the fundamental principles of colour generation and colourimetry, explain the colour creation and encoding pipelines implemented in digital still cameras, detail which variables of this pipeline are easiest to influence (and how) and which ones are not.

Lecture time: 4h

Target audience: PhD students, researchers, and practitioners. Participants need a basic laptop (Win, MacOS). A few weeks before the workshop, we will tell them what software to install and provide images.

Level: Users should know the basics of photography, but other than that, no special knowledge is needed (some Python programming experience can be handy but is not required).

Maximum number of participants: 15

W3 - Web-based sharing, utilization, and management of 3D point clouds. From straightforward viewers to complicated platforms to online 3D information systems

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Lecturers: Francesco Fassi, Stefano Parri

Short description: From both a scientific and a business perspective, a great deal of effort is currently being invested in 3D data fruition. In fact, many survey approaches are now user-friendly and generate vast amounts of data in real time. The issue, however, is how to use them on a regular basis, even by a non-3D specialist audience, as well as how to manage and preserve them. This issue is being addressed by brand-new online platforms that permit online data visualization and utilization on multiple levels. Some of them provide everyone with visible access to the data and simple measurement and hotspot entry functionality, while others are more complex and permit the development of specialized systems. As online information systems, research is increasingly focusing on point cloud-based platforms.

The purpose of the workshop is to provide an overview of the systems on the market, both the simpler and more complex ones, as well as what is happening in the world of research on the topic, with the intention of dissecting issues and unanswered concerns. During the workshop, real-world examples and the application of some of these platforms will be demonstrated to the participants.

Lecture time: 4h

Target audience: PhD students, researchers, and practitioners. Participants need a basic laptop (Win, MacOS) no software required

Level: No skills

Maximum number of participants: 20-30

W4 - VR/AR

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Lecturers: Fabrizio Banfi, Chiara Stanga

Short description: Today, a building is not just a “body” or a “machine” as defined by modern architecture, but rather an immaterial entity immersed in a digital world where not only its components but also the information associated with it are accounted for. In recent decades, building information modelling (BIM) has made it possible to move from 2D CAD drawings to 3D models capable of supporting different processes and interacting with different disciplines in the AEC industry for storing, documenting and sharing heterogeneous content. It has thus become possible to direct these techniques towards built heritage to investigate new forms of communication. This workshop investigates this evolution in both generative terms (scan-to-BIM process) and cultural and historical terms to orient BIM uses towards novel forms of interactivity and immersion between users and models.

Lecture time: 4h

Target audience: PhD students, researchers, and practitioners. Participants need a basic laptop (Win, MacOS) (but not mandatory).

Level: Knowledge of major software autocad, rhino, revit, archicad (but not mandatory)

Maximum number of participants: 15-20

W5 - Image and range-based micro survey

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Lecturers: Fausta Fiorillo, Sara Antinozzi

Short description: The demand for 3D reality-based models is growing in popularity and ambition due to the level of realism and detail expected today. The ever-increasing complexity of virtual descriptions is often linked to the size of the objects to be detected, increasing as they decrease and forcing customizations of the adopted acquisition procedures, sometimes on a case-by-case basis. This 4-hour workshop addresses the issues related to the acquisition of small objects with active and passive sensors, from canonical approaches to possible experimental implementations. The aim is to provide participants with all the skills and knowledge required to carry out a photogrammetry acquisition of tiny and complex objects to obtain resolutions of less than a tenth of a millimetre down to a few microns. The practical aspect will be prevalent, with several acquisition setups where participants can personally try their hand with different specialized equipment (Structured Light Scanner, DSLR camera with macro accessories, digital USB microscope). A real case study will be used to understand the necessary tools and workflow in a real environment. To conclude, the data processing section for the generation of digital models and advanced graphic representations will also be addressed.

Lecture time: 4h

Target audience: PhD students, researchers, and practitioners. Participants need a basic laptop (Win, MacOS) mouse required.

Level: Users should know the basics of photography.

Maximum number of participants: 20

W6 - Point cloud semantic segmentation using ML /DL approaches

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Lecturers: Andrea Masiero, Francesca Matrone, Florent Poux, Roberto Pierdicca

Short description: In the digital cultural heritage domain, the ever-increasing availability of three-dimensional data, deriving from Terrestrial Laser Scanner, Mobile Mapping Systems, both LiDAR-based and image-based, or Unmanned Aerial Vehicles, provides the opportunity to rapidly generate detailed 3D scenes to support the restoration, conservation, maintenance and safeguarding activities of built heritage, also through the scan-to-BIM processes. Nevertheless, these workflows are still mostly manually carried out by domain experts or professionals, making them very time-consuming, and not fully exploiting the potential of point clouds. The use of Artificial Intelligence techniques for the automatic recognition of architectural or other elements from point clouds can thus provide valuable support through the semantic segmentation task. This task has been mainly exploited and developed through machine learning algorithms and its deep learning subset in fields such as autonomous navigation or healthcare.

Lecture time: 4h

Target audience: PhD students, researchers, and practitioners. Participants may bring their own laptops.

Level: Beginner-intermediate. Participants should know the basics of point cloud processing. Cloud Compare (https://www.danielgm.net/cc/release/), Google Colab (a Gmail account is required) and Python will be used.

Maximum number of participants: 20