A preliminary approach on point cloud reconstruction of bronze statues through oriented photogrammetry: The “Principe Ellenistico” case
IOP Conference Series: Materials Science and Engineering, ISSN: 1757-899X, Vol: 949, Issue: 1
2020
- 5Citations
- 13Captures
- 2Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
Close-Range Photogrammetry is a widespread and efficient technique in the 3D acquisition of artefacts, particularly in fields like Cultural Heritage. Despite this wide usage, also due to a convenient quality/cost ratio, it shows some limitations due to light conditions as well as the artefact surface finishing. In this paper, we would like to report the assessment of a photogrammetry approach to 3D capture metal reflective surfaces, such as bronze, which is a widely used material in ancient statues. To this aim, we propose a photogrammetry workflow based on systematic steps capable of overcome some of the main issues of reflective surfaces. To validate this approach, the developed 3D model is compared to a more accurate model of the same artefact, obtained with a 3D scanner. As a case study, we selected the Principe Ellenistico, an ancient bronze statue conserved in the Museo Nazionale Romano (Rome, Italy), of which a photogrammetric model is firstly developed and then compared to the scanned one.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85096863418&origin=inward; http://dx.doi.org/10.1088/1757-899x/949/1/012117; https://iopscience.iop.org/article/10.1088/1757-899X/949/1/012117; https://dx.doi.org/10.1088/1757-899x/949/1/012117; https://validate.perfdrive.com/9730847aceed30627ebd520e46ee70b2/?ssa=2ba0c097-dd4d-4823-8bb9-ffc46a4f5787&ssb=67141263288&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1757-899X%2F949%2F1%2F012117&ssi=80d7f955-cnvj-4d2b-9854-ce21b53be736&ssk=botmanager_support@radware.com&ssm=12229272245094225228436376677213601&ssn=252c6dc48ed711a0eaccf75cb8eadb68c3082617fe85-f716-4004-b65865&sso=4c3b73eb-7b570d50c5e36e42175e6e633e6c27eff6b8aceec549f080&ssp=38569122391726095171172620075249895&ssq=51068574049965545987177985180921471668937&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJfX3V6bWYiOiI3ZjYwMDA2YzE4M2RjNi1hOWQwLTQzNzUtOTdhZS05YzZkMTBmMTM0MDAxNzI2MDc3OTg1NDI3MTYyNTE0MzUwLWVjNzE2ZTBmNGRkOGM5MTMyMjg0MyIsInV6bXgiOiI3ZjkwMDBjMWRlMTM3OS01ODdiLTRmY2UtODI5My02NTAwN2FlMTAzYTUzLTE3MjYwNzc5ODU0MjcxNjI1MTQzNTAtMDNjODllMjA4ZmYwMGFkZDIyODQwIiwicmQiOiJpb3Aub3JnIn0=
IOP Publishing
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know