FAKIR: An Algorithm for Revealing the Anatomy and Pose of Statues from Raw Point Sets
| dc.contributor.author | Fu, Tong | en_US |
| dc.contributor.author | Chaine, Raphaelle | en_US |
| dc.contributor.author | Digne, Julie | en_US |
| dc.contributor.editor | Eisemann, Elmar and Jacobson, Alec and Zhang, Fang-Lue | en_US |
| dc.date.accessioned | 2020-10-29T18:50:59Z | |
| dc.date.available | 2020-10-29T18:50:59Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | 3D acquisition of archaeological artefacts has become an essential part of cultural heritage research for preservation or restoration purpose. Statues, in particular, have been at the center of many projects. In this paper, we introduce a way to improve the understanding of acquired statues representing real or imaginary creatures by registering a simple and pliable articulated model to the raw point set data. Our approach performs a Forward And bacKward Iterative Registration (FAKIR) which proceeds joint by joint, needing only a few iterations to converge. We are thus able to detect the pose and elementary anatomy of sculptures, with possibly non realistic body proportions. By adapting our simple skeleton, our method can work on animals and imaginary creatures. | en_US |
| dc.description.number | 7 | |
| dc.description.sectionheaders | Human Pose | |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.volume | 39 | |
| dc.identifier.doi | 10.1111/cgf.14152 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.pages | 375-385 | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.14152 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf14152 | |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.subject | Computing methodologies | |
| dc.subject | Shape modeling | |
| dc.subject | Point | |
| dc.subject | based models | |
| dc.title | FAKIR: An Algorithm for Revealing the Anatomy and Pose of Statues from Raw Point Sets | en_US |