EditorialForeword to the Special Section on Smart Tool and Applications for Graphics (STAG 2020)
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Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
The conference was sponsored by Eurographics Italian Chapter and organized by the University of Firenze . We thank all authors, participants, and the reviewers for their precious contribution.
Ruggero Pintus received his master’s degree in Electronic Engineering at the University of Cagliari in Italy. There, he also received the Ph.D. in Electronic and Computer Engineering in 2007, working on Computer Vision algorithms applied to Scanning Electron Microscope. He worked as a visiting researcher in the Hewlett-Packard Laboratories, California, US. His research focused on photometric stereo techniques applied to conventional flatbed scanners. Since 2007 he has been part of the Visual
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Ruggero Pintus received his master’s degree in Electronic Engineering at the University of Cagliari in Italy. There, he also received the Ph.D. in Electronic and Computer Engineering in 2007, working on Computer Vision algorithms applied to Scanning Electron Microscope. He worked as a visiting researcher in the Hewlett-Packard Laboratories, California, US. His research focused on photometric stereo techniques applied to conventional flatbed scanners. Since 2007 he has been part of the Visual Computing group of CRS4. His primary research focus is the development of algorithms for acquisition, out-of-core processing, time-critical rendering and 3D printing of massive models, mostly applied to large scale color and geometry Cultural Heritage datasets. In 2013 he worked as a Postdoctoral Associate Research Scientist in the Computer Graphics Group at the Yale University. His research focused on 3D model scanning/processing, and on multi-spectral imaging acquisition and document layout analysis techniques applied to historical medieval manuscripts. Recently his research is focusing on Multi-Spectral Photometric Stereo and Reflectance Transformation Imaging (RTI) acquisition, calibration and processing for geometry and appearance reconstruction.
Silvia Biasotti is a Senior Researcher at the Institute of Applied Mathematics and Information Technologies of the National Research Council of Italy (CNR-IMATI). Her research interests include: shape modeling; similarity reasoning in presence of incomplete or partial information; pattern, color and texture recognition on surfaces; change detection on 3D data; the exploration of large collections of 3D models. She is co-author of more than 100 peer-reviewed scientific publications on these topics. She was in charge of several CNR-IMATI research activities on surface similarity reasoning and is involved in the creation of datasets and benchmarks, in particular she organized several tracks of the SHape REtrieval Contest (SHREC). In 2020, she was program chair of Smart Tools and Apps in Computer Graphics (STAG); previously she chaired STAG in 2015 and 2016 and the Eurographics Workshop 3DOR in 2019 and 2013, and regularly serves in the programme committees of several conferences. She is a member of the European Association for Computer Graphics (Eurographics) and the Association for Computing Machinery (ACM).
Stefano Berretti is an Associate Professor at the Media Integration and Communication Center (MICC) and at the Department of Information Engineering (DINFO) of the University of Florence (UNIFI), Florence, Italy, He was Visiting Professor at the University of Lille, and the University of Alberta. His research interests are in the area of Computer Vision, Pattern Recognition and Multimedia. In this scope, he provided several contributions on 3D object retrieval and partitioning, face biometrics, facial expression and emotion recognition, human action recognition, and 3D surface description for relief patterns classification. Stefano Berretti served as a chair of some workshops and was the program chair of several workshops and conferences. He is the Information Director and an Associate Editor of the ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM) and an Associate Editor of the IET Computer Vision journal (IETcv) and the MDPI Sensors journal. Stefano Berretti is a member of the Italian Association for ”Computer Vision, Pattern Recognition and Machine Learning” (CVPL), of the Computer Vision Foundation (CVF), of the ACM, and a senior member of the IEEE.