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dc.contributor.authorFu, Tongen_US
dc.contributor.authorChaine, Raphaelleen_US
dc.contributor.authorDigne, Julieen_US
dc.contributor.editorEisemann, Elmar and Jacobson, Alec and Zhang, Fang-Lueen_US
dc.date.accessioned2020-10-29T18:50:59Z
dc.date.available2020-10-29T18:50:59Z
dc.date.issued2020
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14152
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14152
dc.description.abstract3D 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.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectShape modeling
dc.subjectPoint
dc.subjectbased models
dc.titleFAKIR: An Algorithm for Revealing the Anatomy and Pose of Statues from Raw Point Setsen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersHuman Pose
dc.description.volume39
dc.description.number7
dc.identifier.doi10.1111/cgf.14152
dc.identifier.pages375-385


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  • 39-Issue 7
    Pacific Graphics 2020 - Symposium Proceedings

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