Federico Dassiè

Research Fellow at the Center for Cultural Heritage Technology (CCHT-IIT), Venice

Interested in AI, Computer Vision, Robotics, and Humanities

I see myself as a Programmer and Digital Humanist, one who has two great passions, Computer Science and History, and is able to master the tools necessary to achieve important results in the interdisciplinarity of the two fields. Obsessed over getting daily information about anything, from the ordinary to more complex things, I'm also a good and constant reader.

Pinned Content New!

Projects

CTE-Genova

A project exploring the integration of 3D scanning and reconstruction with robotic systems for autonomous operations.

PyCrop

Image post-production app, including features like image conversion, object detection and cropping, quality compression, and white balancing.

I Conti con la Storia

Research project exploring Italy's racial laws through public television, combining a scholarly paper and a web documentary to analyze historical narratives from fascism to the present.

Publications

DARS: A Dual-Arm Robotic System for Autonomous 3D Artifacts Scanning

Authors: J. Ahmad; F. Dassiè; S. Frascella; F. Cannella et al.

A fully autonomous 3D scanning system using dual-arm robotics is proposed to preserve cultural heritage artifacts. It optimizes scanning trajectories and reduces reliance on expert operators, achieving superior shape accuracy and efficiency compared to previous methods.

2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IROS 2025)

Coming soon!

Authors: ---

Soon to be published - Hyperspectral imaging analysis through robotic acquisition

2025

AAPOE: Automated Artifacts Position and Orientation Estimation in Cultural Heritage

Authors: J. Ahmad; S. Frascella; F. Dassiè et al.

This paper presents a novel approach for estimating the position and orientation of artifacts in cultural heritage using automated systems.

2024 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)

Machine Learning and Computer Vision in the Humanities

Authors: F. Dassiè

Exploring the intersection of machine learning and computer vision to advance research in the humanities.

Università Ca' Foscari Venezia, 2022

Work Experience

Research Fellow at the Center for Cultural Heritage Technology (CCHT-IIT), Venice

March 2024 - Present

Researcher and Python Developer, working on Computer Vision and Robotics applied to Cultural Heritage projects.

Technologies used: Python, Robotics (UR, Robotiq), COLMAP, NerF/Gaussian Splatting, 3D Scanners and cameras (Artec, Polyga, Intel Realsense, Zivid), Genesis

Junior Python Developer at Fondazione Giorgio Cini, Venice

2022 - 2024

Development and maintenance of automation pipelines for image postproduction, involving Computer Vision and Machine Learning.

Technologies used: Python, Pytorch, Detectron2, OpenCV, Leaflet, Adobe Lightroom, RawTherapee, Canon cameras