Special Issue "Computer Vision and Robotics for Cultural Heritage: Theory and Applications"

A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Computer Vision and Pattern Recognition".

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editors

Dr. Guillaume Caron
E-Mail Website
Guest Editor
Laboratory of Modelling, Information and System, University of Picardie Jules Verne, MIS-UPJV, 33 rue Saint Leu, CEDEX 1, 80039 Amiens, France
Interests: direct visual alignment; 3D visual tracking; visual servoing; digital heritage
Prof. Dr. Olga Regina Pereira Bellon
E-Mail Website
Guest Editor
Imago Research Group, Universidade Federal do Paraná, R. Cel. Francisco H. dos Santos, 100, Curitiba, PR 81531-980, Brazil
Interests: range imaging; computer graphics; digital preservation; virtual museums
Prof. Dr. Ilan Shimshoni
E-Mail Website
Guest Editor
Department of Information Systems, Faculty of Social Sciences, University of Haifa, Haifa 31905, Israel
Interests: computational archeology; 3D and 2D artifact reassembly; 3D shape analysis; human motion analysis for medical applications

Special Issue Information

Dear Colleagues,

Computer vision and robotics are more and more involved in cultural heritage. From data acquisition to heritage interpretation, the various tasks of culture heritage must face specificities of tangible and intangible heritages. For example, some ancient materials evolved with time and are possibly very unique, and therefore different from today’s buildings or paintings. Another example is the rarity of artefacts or cultural events such as some dance or ceremony practiced at a unique place on Earth by a very few people, but nevertheless is part of humanity’s heritage. The reality extends much wider than these few examples and inspires computer vision and robotics researchers to design new sensors, new robots, new methods, and new interfaces in collaboration with historians, physicians, curators, and teachers to allow archiving, analyzing, and interpreting cultural heritage in an unprecedented way. The combination of so many various skills is now well known as digital heritage.

This Special Issue welcomes the presentation of new works within the multidisciplinary field of digital heritage, simultaneously contributing to computer or robot vision and digital heritage. Theoretical works as well as applications of tangible and intangible digital heritage are expected about archiving, including in combination with conventional techniques, standardization, monitoring, interpretation, education, and restoration. Examples of expected works are not limited to the following:     

  • Acquisition: visual and 3D modalities for archiving cultural assets, robotic vectors to access and explore heritage sites, etc.
  • Analysis: layers separation of documents from imaging, vision-based recognition of historical artistic styles, new methods to transform raw visual or 3D data to more abstract representations of heritage assets (e.g., building, painting), etc.
  • Interpretation: augmented/mixed/projective reality/mapping of heritage sites, robot guide in museums or archaeological sites, assistive virtual tours of heritage sites, etc.

Dr. Guillaume Caron
Prof. Dr. Olga Regina Pereira Bellon
Prof. Dr. Ilan Shimshoni
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • imaging for digital heritage
  • robotics for digital heritage
  • image processing for digital heritage
  • interactive virtual tour of heritage sites
  • interactive robot for heritage tours
  • digital heritage use cases featuring computer/robot vision
  • digital heritage projects featuring computer/robot vision

Published Papers (2 papers)

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Research

Article
Revealing Hidden Features in Multilayered Artworks by Means of an Epi-Illumination Photoacoustic Imaging System
J. Imaging 2021, 7(9), 183; https://doi.org/10.3390/jimaging7090183 - 10 Sep 2021
Viewed by 428
Abstract
Photoacoustic imaging is a novel, rapidly expanding technique, which has recently found several applications in artwork diagnostics, including the uncovering of hidden layers in paintings and multilayered documents, as well as the thickness measurement of optically turbid paint layers with high accuracy. However, [...] Read more.
Photoacoustic imaging is a novel, rapidly expanding technique, which has recently found several applications in artwork diagnostics, including the uncovering of hidden layers in paintings and multilayered documents, as well as the thickness measurement of optically turbid paint layers with high accuracy. However, thus far, all the presented photoacoustic-based imaging technologies dedicated to such measurements have been strictly limited to thin objects due to the detection of signals in transmission geometry. Unavoidably, this issue restricts seriously the applicability of the imaging method, hindering investigations over a wide range of cultural heritage objects with diverse geometrical and structural features. Here, we present an epi-illumination photoacoustic apparatus for diagnosis in heritage science, which integrates laser excitation and respective signal detection on one side, aiming to provide universal information in objects of arbitrary thickness and shape. To evaluate the capabilities of the developed system, we imaged thickly painted mock-ups, in an attempt to reveal hidden graphite layers covered by various optically turbid paints, and compared the measurements with standard near-infrared (NIR) imaging. The obtained results prove that photoacoustic signals reveal underlying sketches with up to 8 times improved contrast, thus paving the way for more relevant applications in the field. Full article
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Article
Documenting Paintings with Gigapixel Photography
J. Imaging 2021, 7(8), 156; https://doi.org/10.3390/jimaging7080156 - 21 Aug 2021
Viewed by 529
Abstract
Digital photographic capture of pictorial artworks with gigapixel resolution (around 1000 megapixels or greater) is a novel technique that is beginning to be used by some important international museums as a means of documentation, analysis, and dissemination of their masterpieces. This line of [...] Read more.
Digital photographic capture of pictorial artworks with gigapixel resolution (around 1000 megapixels or greater) is a novel technique that is beginning to be used by some important international museums as a means of documentation, analysis, and dissemination of their masterpieces. This line of research is extremely interesting, not only for art curators and scholars but also for the general public. The results can be disseminated through online virtual museum displays, offering a detailed interactive visualization. These virtual visualizations allow the viewer to delve into the artwork in such a way that it is possible to zoom in and observe those details, which would be negligible to the naked eye in a real visit. Therefore, this kind of virtual visualization using gigapixel images has become an essential tool to enhance cultural heritage and to make it accessible to everyone. Since today’s professional digital cameras provide images of around 40 megapixels, obtaining gigapixel images requires some special capture and editing techniques. This article describes a series of photographic methodologies and equipment, developed by the team of researchers, that have been put into practice to achieve a very high level of detail and chromatic fidelity, in the documentation and dissemination of pictorial artworks. The result of this research work consisted in the gigapixel documentation of several masterpieces of the Museo de Bellas Artes of Valencia, one of the main art galleries in Spain. The results will be disseminated through the Internet, as will be shown with some examples. Full article
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