Homa Davoudi attended the 25th International Conference on Pattern Recognition


CCHT’s Post-Doctoral researcher, Homa Davoudi, presented her recent research achievements on ancient document layout analysis at 25th International Conference on Pattern Recognition ICPR 2020 (hold virtually due to the Covid-19, 10-15 January 2021). She presented the result of her work in collaboration with Marco Fiorucci and Arianna Traviglia as a poster, introducing a novel deep sparse coding model for manuscript image representation, which was successfully applied for historical document layout analysis.

Welcome to Francesco Abate and Raffaella Lamuraglia


Francesco Abate and Raffaella Lamuraglia join the Characterization and Protection of Cultural Heritage Materials research group, as Ph.D. students! Raffaella has a Master Degree in Conservation Science and Technology for Cultural Heritage and in her master thesis she evaluated anti-UV and anti-graffiti coatings for contemporary paints in Urban Art. At the CCHT, Raffaella will work in particular on characterization and protection of Roman frescoes. Francesco studied Material Engineering at the Università degli Studi di Napoli Federico II, and his thesis was focused on the Laser deposition of polymer-based thin films containing encapsulated inhibitor for Conservation of Cultural Heritage. At the CCHT, he will work on the protection of ancient metals. We are happy to welcome Raffaella and Francesco in our group!

Welcome to Sara Ferro


Sara Ferro joins the Machine Learning and Computer Vision of Cultural Heritage research group, as a Ph.D. student! She earned a M.Sc. degree in Control and Automation Engineering and a second level Master Degree in Machine Learning from the University of Padua, Italy. Her research focus is on developing Machine Learning and Computer Vision algorithms for supporting Historical Document Analysis and Ancient Handwritten recognition. The whole group welcomes Sara at CCHT!


Welcome to Luigi Marasco


Today, Luigi Marasco starts his work as laboratory technician at the CCHT! During his B. Sc. in Materials Science, Luigi won an Erasmus+ scholarship and he joined the “Graphene Team” of the Interuniversity Microelectronics Centre (IMEC) in Belgium, where he focused his thesis project on graphene production methods. For his master thesis project he joined the “Graphene Labs” at IIT and he worked on graphene based electrodes for solar cell applications. He joined the IIT family in 2017 as laboratory technician for supporting the scientific staff of the Graphene Labs, where he worked on the production and prototyping of 2D material-based inks and powders for printing and coating. He collaborated in academic and industrial projects focused on the use of 2D materials in composites and energy generation and storage devices, in order to reduce corrosion and enhance thermal, electrical and mechanical performances of the final products. A big welcome to Luigi from all the CCHT research group! 

Focus Point in The European Physical Journal Plus


We are pleased to announce the opening of Focus Point on the Advances in Hyperspectral Data Processing for Cultural Heritage to be published in The European Physical Journal Plus (Electronic ISSN 2190-5444, IF 3.228 (2019)). 

The goal of this Focus Point is to gather contributions that showcase the most recent advances in hyperspectral image processing applied to artworks and antiquities held at Galleries, Libraries, Archives and Museums (GLAM) or privately owned. Papers should focus on improving image quality, significance of data results, demonstrating the advantages of the methods on case studies and exhibiting their usability for dissemination to wide public. Potential topics include but are not limited to automatic classification, hidden pattern recognition and multivariate clustering analysis applied on hyperspectral data cubes. This Focus Point intends to promote the collaboration between conservators and scientists working in computer science, giving floor to the dialogue between those different disciplines. Authors are encouraged to submit contributions in the form of research papers, communications, or reviews.

> Guest Editor: Dr. Arianna Traviglia, Dr. Alessia Artesani, Dr. Marco Fiorucci, Dr. Marina Ljubenovic

> Submission Deadline: 28 Feb 2021

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Welcome to Giulia Franceschin


Giulia joins the CCHT as post doc researcher in the Cultural Heritage (CH) Materials Characterization and Protection group. After a master degree in Materials Engineering at the University of Padua (2014), she obtained a PhD degree at the University of Paris Diderot (France) in Surfaces, Interfaces and Functional Materials (2017), funded by the French National Research Agency (ANR). She is an expert of material chemistry and solid state physics, with a focus on the synthesis of nanomaterials and the study of complex and heterogeneous microstructures, such those found in CH materials. After her PhD, she had been collaborating for 2 years with the European Research Platform on Ancient Material (IPANEMA) in SOLEIL synchrotron (Paris) as a post doc researcher. She focused on the study of archeological ceramics and corroded metals by mean of advanced and synchrotron-based techniques. A big welcome to Giulia from all the CCHT research group! 

Welcome to Marina Ljubenovic


Dr. Marina Ljubenovic joins the CCHT as Post Doc in Machine Learning and Computer Vision research group. She holds a Ph.D. in Electrical Engineering and Computer Sciences, obtained with a Marie Skłodowska-Curie Actions Fellowship. She is an expert of Image Restoration, with focus on image denoising and blind deblurring. Marina developed super-resolution methods for removing beam-shape effects from terahertz images and she worked with 2D and hyperspectral images using model-based and neural network-based approaches. She is happy to integrate the Machine Learning group of CCHT!

Francesca Di Turo takes part at the ScienceABC Conference in Rome!


Francesca Di Turo partecipates as speaker at the ScienceABC Conference in Rome (19-22 February, 2020). During the second day of the Conference, she brings the audience attention on the recent archaeometric research carried out at the CCHT lab, discussing the electrochemical study conducted on the corrosion patina of Roman coins found in the archaeological site of Aquileia (NE Italy). The approach sheds light one the manufacturing and the burial history of the collection. Glad the work activates curiosity and interest of all the partecipants!

Marco Fiorucci's contribution at the Machine Learning in Archaeology Conference


Marco Fiorucci introduces the research carried out at the CCHT on Machine Learning application to Cultural Heritage at the 'Artificial Intelligence, Machine Learning, and Deep Learning in Archaeology' Conference in Rome (7-8 November 2019) organised by the European Space Agency (ESA) and the British School at Rome (BSR). Marco talks on the application of Graph Neural Networks (GNNs) to remote sensing and ancient document analysis. The approach sheds light on the potential of GNNs for tackling Cultural Heritage research questions.

Welcome to Roberta Zanini


Roberta Zanini joins the Characterization and Protection of Cultural Heritage Materials research group, as Ph.D. student! She has a Master Degree in Science and Technology for Cultural Herutage and in her M.Sc. thesis she discussed multi-analytical investigation for in-situ complete characterization of gemological material findings (metals, gemstones and glass) of Roman and Lombard artefacts. At the CCHT, Roberta will work in particular on characterization and protection of ancient glass. Welcome to Roberta from all the CCHT research group! 

Internal Seminar: Dr. Victor Gonzalez, Rijksmuseum (Amsterdam)


Victor Gonzalez, Postdoctoral Researcher of the Rijksmuseum Science Department (Amsterdam), presents today his recent research aims at a better understanding of the ancient synthesis processes of historical pictorial matter, and of the potential degradation mechanisms affecting it within artworks. His communication illustrates the complementarity of chemical data collected at the micro and macro-scales. He highlights structural imaging results obtained via Synchrotron radiation, with special focus on the in-situ formation of crystalline compounds within micrometric paint stratigraphies of Rembrandt’s artworks. He presents further the recent instrumental developments implemented at the Rijksmuseum (Hyperspectral imaging and macro-XRF/XRD) for  chemical imaging of Dutch Golden Age artworks, and the analytical campaign performed on the Woman with a pearl (Vermeer, c. 1665) and the on-going research project carried out on Rembrandt’s Nightwatch (1642). We are pleased to have Dr. Victor Gonzalez with us today!

Arianna Traviglia participates at SingularityU Italy Summit


The CCHT Coordinator Arianna Traviglia takes part at SingularityU Italy Summit (8/9 October in Milan) talking to the public about the technologies for Cultural Heritage conservation. Arianna discussed how modern technologies and cultural heritage can meet for a wider valorization and knowledge. "We talk about cultural heritage, what we are and what we identify ourselves with. It makes us tied to the origins and history. But do we take care of it? " said Arianna Traviglia at the beginning of her speech.

Welcome to Homa Davoudi


Homa Davoudi join the CCHT as Post Doc in Machine Learning and Computer Vision of Cultural Heritage research area. She is going to integrate the group coordinated by Arianna Traviglia. She holds a Ph.D. in Electrical Engineering, where she studied document image analysis, focusing on the development of methods for holistic description of word shapes in Farsi and Arabic. She is an expert in processing historical and contemporary document images, specifically in automatizing transcription using probabilistic and deep learning methods. All the group welcome Homa at the CCHT!

SAVE THE DATE: The secrets of glass in the Venetian lands


The date of the public conference "The secrets of glass in the Venetian lands: tales of history and science"  organised by the IIT Centre for Cultural Heritage Technology in collaboration with the Scientific Areas Library (BAS) and the Department of Molecular Sciences and Nanosystems (DSMN) of Ca' Foscari University has been announced today. The event, part of the International Glass Week 2019 and under the patronage of the Italian National A.I.H.V. Committee will be held on Tuesday 10 September 2019 at the Auditorium of the Scientific Campus of Ca' Foscari, in Via Torino 155 (Venice Mestre). Open to general audience, the conference will consist of a series of dialogues between experts on history and science of glass, and will focus on the technology of glass production in antiquity, its conservation and the way in which it is musealised.

Welcome to Alessia Artesani and Francesca Di Turo


Alessia Artesani and Francesca Di Turo join the CCHT as Post Doc in Characterization and Protection of Cultural Heritage materials research area. They bring their experience on materials and scientific methods applied to Cultural Heritage. Francesca is an expert of electrochemical techniques and she has developed methods for dating archaeological bronzes. Alessia studied ancient and modern pigment degradation using optical and spectroscopic techniques, and she specialized in time-resolved photoluminescence spectroscopy on semiconductor pigments. They are going to integrate the group coordinated by Arianna Traviglia. Happy to start working in the Chemical Labs of CCHT!

Internal Seminar: Prof. Jeppe Revall Frisvad, Technical University of Denmark


A big welcome to Prof. Jeppe Revall Frisvad from Technical University of Denmark
who visited our Center! Today, he presents his work on "Glass Object Appearance Acquisition Using Learning-Based Inverse Rendering". Most rendering tools have the ability to produce plausible renderings of glass objects. However, such renderings are not necessarily photorealistic. At the Technical University of Denmark, Prof. Jeppe Revall Frisvad and collaborators are studing rendering techniques for making glass object photorealistic. With that, they can generate data set of synthetic images of glass objects with corresponding reference data. A large set of photorealistic synthetic images is useful for deep learning of the relation between glass appearance in a photograph and the shape and optical properties of the object. Prof. Jeppe Revall Frisvad gives us some indications of the performance of a convolutional neural network in acquiring the shape of a glass object from a photograph of it “in the wild”. We are greatful to prof. Jeppe Revall Frisvad, as his talk has activated discussion on how such an approach could be used for more accurate scanning of glass object shape when photographed in a robot-controlled light-camera configuration.

Internal Seminar: M. E. Brix Doest, Technical University of Denmark

Mads Emil Brix Doest from DTU presents today his research on Single-Shot Analysis of Refractive Shape Using Convolutional Neural NetworksThe appearance of a transparent object is determined by a combination of refraction and reflection, as governed by a complex function of its shape as well as the surrounding environment. Prior works on 3D reconstruction have largely ignored transparent objects due to this challenge, yet they occur frequently in real-world scenes. Brix Doest presents an approach to estimate depths and normals for transparent objects using a single image acquired under a distant but otherwise arbitrary environment map. In particular, they use a deep convolutional neural network (CNN) for this task. Unlike opaque objects, it is challenging to acquire ground truth training data for refractive objects, thus, they propose to use a large-scale synthetic dataset. To accurately capture the image formation process, they use a physically-based renderer and demonstrate that a CNN trained on our dataset learns to reconstruct shape and estimate segmentation boundaries for transparent objects using a single image, while also achieving generalization to real images at test time. In the presented experiments, they extensively study the properties of our dataset and compare to baselines demonstrating its utility.

Barbara Mazzolai: "Robots that grow like plants"


Barbara Mazzolai, Coordinator of the IIT Center for Micro-BioRobotics (CMBR), gives a lecture on bioinspired robotics, a topic which can count on a rich scientific literature. More recently, the use of soft materials and variable stiffness technologies has represented an emerging way to build new classes of robotic systems that are expected to interact more safely with natural unstructured environments and with humans, with an improved ability of dealing with uncertain and dynamic tasks. The potential impact on society of plant-like self-creating robots could be huge and wide, e.g., in rescue, medical applications, space, or environmental monitoring. Since the design of these robotic solutions is deeply based on a few selected plant features, a new view of robots for biology can be envisaged, with the goal to give insights on the organisms themselves and open new exciting opportunities both in science and engineering.





First day at CCHT. The team joins for the official kick-off and can start the research activities. The group is composed by Arianna Traviglia, the Principal Investigator and Center Coordinator, Stuart James, Researcher in Computer Vision and Information Retrieval, Marco Fiorucci, Postdoc in Machine Learning and Marina Khoroshiltseva, PhD student Machine Learning. Everybody is proud to be part of this new exciting project.

Inaugural event


On 19th November 2018 the IIT inaugurated the 11th centre of its national network, CCHT, the Centre for Cultural Heritage Technology, in cooperation with Ca’Foscari University of Venice. The inaugural event was held in Venice, at VEGA– the VEnice GAteway for Science and Technology, where the headquarters of CCHT are located.

The opening ceremony started with the introductory speeches of Michele Bugliesi, the Rector of Ca’Foscari University, Roberto Cingolani, IIT Scientific Director and Roberto Ferrari, representing VEGA. More specific details on the centre and its mission were then provided by Alessio Del Bue, IIT Principal investigator, Antonio Marcomini and Pietro Riello from Ca’Foscari and Arianna Traviglia, the coordinator of CCHT@Ca’Foscari.

The celebration for CCHT opening was attended by a huge amount of guests and received numerous positive comments from the press, local authorities and their representatives.