Publications
Here you can find the complete list of my publications. You can use the tag cloud below to select only the papers dealing with specific research topics. You can expand the Abstract, Links and BibTex record of each paper.
2017
Brancati, Nadia; Pietro, Giuseppe De; Frucci, Maria; Gallo, Luigi
Human Skin Detection through Correlation Rules between the YCb and YCr Subspaces Based on Dynamic Color Clustering Journal Article
In: Computer Vision and Image Understanding, vol. 155, pp. 33–42, 2017, ISSN: 1077-3142.
Abstract | Links | BibTeX | Tags: Classification, Clustering, Correlation rules, Skin detection, YCbCr color space
@article{brancatiHumanSkinDetection2017,
title = {Human Skin Detection through Correlation Rules between the YCb and YCr Subspaces Based on Dynamic Color Clustering},
author = { Nadia Brancati and Giuseppe De Pietro and Maria Frucci and Luigi Gallo},
doi = {10.1016/j.cviu.2016.12.001},
issn = {1077-3142},
year = {2017},
date = {2017-02-01},
urldate = {2017-02-05},
journal = {Computer Vision and Image Understanding},
volume = {155},
pages = {33--42},
abstract = {This paper presents a novel rule-based skin detection method that works in the YCbCr color space. The method is based on correlation rules that evaluate the combinations of chrominance values to identify the skin pixels in the YCb and YCr subspaces. The correlation rules depend on the shape and size of dynamically generated skin color clusters, which are computed on a statistical basis in the YCb and YCr subspaces for each single image, and represent the areas that include most of the candidate skin pixels. Comparisons with six well-known rule-based methods in literature carried out on four publicly available databases show that the proposed method outperforms the others in terms of quantitative performance evaluation parameters. Moreover, the qualitative analysis shows that the method achieves satisfactory results also in critical scenarios, including severe variations in illumination conditions.},
keywords = {Classification, Clustering, Correlation rules, Skin detection, YCbCr color space},
pubstate = {published},
tppubtype = {article}
}
Brancati, Nadia; Pietro, Giuseppe De; Frucci, Maria; Gallo, Luigi
Dynamic Colour Clustering for Skin Detection Under Different Lighting Conditions Proceedings Article
In: Krasnoproshin, Viktor V.; Ablameyko, Sergey V. (Ed.): Pattern Recognition and Information Processing, pp. 27–35, Springer International Publishing, Cham, 2017, ISBN: 978-3-319-54220-1.
Abstract | Links | BibTeX | Tags: Clustering, Skin detection, YCbCr color space
@inproceedings{brancatiDynamicColourClustering2017,
title = {Dynamic Colour Clustering for Skin Detection Under Different Lighting Conditions},
author = { Nadia Brancati and Giuseppe De Pietro and Maria Frucci and Luigi Gallo},
editor = { Viktor V. Krasnoproshin and Sergey V. Ablameyko},
doi = {10.1007/978-3-319-54220-1_3},
isbn = {978-3-319-54220-1},
year = {2017},
date = {2017-01-01},
booktitle = {Pattern Recognition and Information Processing},
pages = {27--35},
publisher = {Springer International Publishing},
address = {Cham},
series = {Communications in Computer and Information Science},
abstract = {Skin detection is an important process in many applications like hand gesture recognition, face detection and ego-vision systems. This paper presents a new skin detection method based on a dynamic generation of the skin cluster range in the YCbCr color space, by taking into account the lighting conditions. The method is based on the identification of skin color clusters in the YCb and YCr subspaces. The experimental results, carried out on two publicly available databases, show that the proposed method is robust against illumination changes and achieves satisfactory results in terms of both qualitative and quantitative performance evaluation parameters.},
keywords = {Clustering, Skin detection, YCbCr color space},
pubstate = {published},
tppubtype = {inproceedings}
}
2016
Brancati, Nadia; Pietro, Giuseppe De; Frucci, Maria; Gallo, Luigi
Dynamic Clustering for Skin Detection in YCbCr Colour Space Proceedings Article
In: 2016 Proceeding of the 13th International Conference on Pattern Recognition and Information Processing (PRIP), pp. 49–53, Minsk: Publishing Center of BSU, Minsk, Belarus, 2016, ISBN: 978-985-553-383-3.
Abstract | BibTeX | Tags: Clustering, Skin detection, YCbCr color space
@inproceedings{brancatiDynamicClusteringSkin2016,
title = {Dynamic Clustering for Skin Detection in YCbCr Colour Space},
author = { Nadia Brancati and Giuseppe De Pietro and Maria Frucci and Luigi Gallo},
isbn = {978-985-553-383-3},
year = {2016},
date = {2016-10-01},
booktitle = {2016 Proceeding of the 13th International Conference on Pattern Recognition and Information Processing (PRIP)},
pages = {49--53},
publisher = {Minsk: Publishing Center of BSU},
address = {Minsk, Belarus},
abstract = {This paper presents a new approach for skin detection in colour images. The method is based on the building of a dynamic clustering in the YCbCr colour space, taking into account the illumination conditions of the examined image. The results of a comparative evaluation on a publicly available database, show that the proposed method outperforms well known rule based static methods, both in qualitative and quantitative terms.},
keywords = {Clustering, Skin detection, YCbCr color space},
pubstate = {published},
tppubtype = {inproceedings}
}
Other
Talks
Keynote Talks
- 2023, October 10 – Artificial Intelligence and Virtual Reality Advances and Applications in Research Oncology and Clinical Oncology, Next Oncology 2023, Next Oncology – Supporting Oncology through innovation, Milano, Italy. Website
- 2022, March 1 – Touchless interactions in Surgery, ICCI 2022, International Conference on Cybernetics and Innovations, Ratchaburi, Thailand. Website
- 2019, June 25 – Interactive Virtual Environments: From the Laboratory to the Field, SalentoAVR 2019, 6th International Conference on Augmented and Virtual Reality, Lecce, Italy. Website
- 2016, October 2 – Vision-based human-computer interaction in the operating theatre, PRIP 2016, 13th International Conference on Pattern Recognition and Information Processing, Minsk, Republic of Belarus. Website
- 2015, September 1 – Touchless Interaction in Surgery: the Medical Imaging Toolkit experience, SalentoAVR 2015, 2nd International Conference on Augmented and Virtual Reality, Lecce, Italy. Website
Invited Talks
- 2023, November 14 – Realtà Aumentata e Virtuale, La Scienza che non c’era: L’informatica e i prossimi 100 anni del CNR, Area di Ricerca CNR Pisa, Pisa, Italy. Website
- 2023, September 30 – Lessons Learnt from the SMART BEAR Project, STRESS Congress, Palatul Parlamentului, Bucarest, Romania. Host: Prof. Luiza Spiru.
- 2023, May 2 – Enhancing and promoting tangible and intangible cultural heritage: an HCI perspective, PhD Course in “Umanesimo e Tecnologie”, Università di Macerata, Italy. Host: Prof. Roberto Lambertini.
- 2022, December 19 – Sperimentare la realtà estesa e l’interazione uomo-macchina nella riabilitazione personalizzata, Personalized Rehabilitation: Combining Mind, Body and Genetics 2022, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Italia.
- 2022, October 25 – Home Care and Assisted Living for the Elderly: The SMART BEAR Approach, Digital Transformation Summit 2022, Funchal, Madeira, Portugal. Website
- 2022, September 9 – Enhancing and promoting tangible and intangible cultural heritage: an HCI perspective, eXtended Reality and Artificial Intelligence, International Summer School 2022 on “XR and AI for enhancing cultural and territorial heritage”, Matera, Italy. Host: Prof. Ugo Erra. Website
- 2018, December 14 – The potential of virtual reality in various health care settings: promises and challenges, Artificial Intelligence and Health, Rome, Italy. Host: Prof. Clara Balsano. Website
- 2018, November 15 – Piattaforma DatabencArt – progetto per le scuole della Campania, XXII Edizione della Borsa Mediterranea del Turismo Archeologico, Paestum (SA), Italy. Host: Luisa Franzese. Website
- 2018, September 29 – La realtà virtuale per il training cognitivo, Convention Realtà virtuale in soggetti con impairment cognitivo, Gallarate (VA), Italia. Host: Dr. Marco Predazzi. Website
- 2017, February 15 – Interactive ICT technologies for Cultural Heritage, Museo Archeologico Nazionale di Napoli (MANN), Napoli, Italy. Host: Dr. Paolo Giulierini. Website
- 2014, June 6 – Interfacce gestuali touchless per la visualizzazione di immagini mediche, Chirurgie 2014 – Simulazione nella Formazione, Programmazione e Ricerca in Chirurgia, Napoli, Italy. Host: Prof. Marco De Fazio. Website
- 2013, November 11 – Multi-DOF touchless interaction with 3D medical data, Body Tracking in Healthcare 2013, Microsoft Research, Cambridge, UK. Organisers: Abigail Sellen, Kenton O’Hara, Scarlet Schwiderski-Grosche. Website
- 2008, March – Realistic vs. magic interaction metaphors in virtual environments, Multimedia Techniques for Device and Ambient Intelligence – MTDAI 2008, Mogliano Veneto, Italy. Host: Prof. E. Damiani.
Awards
Best Research Paper Award @ AIxPAC
Best Research Paper Award @ ICT4AWE
Second Place Award - Gesture Demonstration Competition @ ICPR
L. Gallo, A.P. Placitelli, G. De Pietro, “A Kinect NUI for 3D Medical Visualization”, demonstrated at the CHALEARN Gesture Demonstration Competition, in conjunction with the 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba International Congress Center, Tsukuba Science City, Japan, November 10-11, 2012. Organizers: Isabelle Guyon, Vassilis Athitsos. Judges: Alex Balan, Hugo Jair Escalante, Paul Doliotis, Jeffrey Margolis. ChaLearn Gesture Demonstration Competition website
Best Research Paper Award @ IIMSS
L. Gallo, “A Glove-Based Interface for 3D Medical Image Visualization”, presented at the 3rd International Symposium on Intelligent and Interactive Multimedia: Systems and Services, Baltimore, USA, 28-30 July 2010.
Master Degree & PhD Theses
L. Gallo, “Semi-immersive interactive virtual environments for 3D medical imaging,” University of Naples “Parthenope”, Philosophiæ Doctor degree in Information Engineering, 2010. Tutor: Prof. Luigi Romano. Ph.D. Thesis
L. Gallo, “Distribuzione ed esecuzione automatica di task in griglie pervasive,” University of Naples “Federico II”, Master of Science in Computer Engineering, 2006. Supervisors: Antonio Coronato, Giuseppe De Pietro. M.D. Thesis