FARM: Functional Automatic Registration Method for 3D Human Bodies

dc.contributor.authorMarin, R.en_US
dc.contributor.authorMelzi, S.en_US
dc.contributor.authorRodolà, E.en_US
dc.contributor.authorCastellani, U.en_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2020-05-22T12:24:40Z
dc.date.available2020-05-22T12:24:40Z
dc.date.issued2020
dc.description.abstractWe introduce a new method for non‐rigid registration of 3D human shapes. Our proposed pipeline builds upon a given parametric model of the human, and makes use of the functional map representation for encoding and inferring shape maps throughout the registration process. This combination endows our method with robustness to a large variety of nuisances observed in practical settings, including non‐isometric transformations, downsampling, topological noise and occlusions; further, the pipeline can be applied invariably across different shape representations (e.g. meshes and point clouds), and in the presence of (even dramatic) missing parts such as those arising in real‐world depth sensing applications. We showcase our method on a selection of challenging tasks, demonstrating results in line with, or even surpassing, state‐of‐the‐art methods in the respective areas.en_US
dc.description.number1
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.13751
dc.identifier.issn1467-8659
dc.identifier.pages160-173
dc.identifier.urihttps://doi.org/10.1111/cgf.13751
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13751
dc.publisher© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subject3D shape matching
dc.subjectmodelling
dc.subjectdigital geometry processing
dc.subjectgeometric modelling
dc.subject• Computing methodologies → Shape modelling
dc.subjectShape analysis
dc.titleFARM: Functional Automatic Registration Method for 3D Human Bodiesen_US
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