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Title
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An articulating statistical shape model of the human hand
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Author
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Abstract
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| This paper presents a registration framework for the construction of a statistical shape model of the human hand in a standard pose. It brings a skeletonized reference model of an individual human hand into correspondence with optical 3D surface scans of hands by sequentially applying articulation-based registration and elastic surface registration. Registered surfaces are then fed into a statistical shape modelling algorithm based on principal component analysis. The model-building technique has been evaluated on a dataset of optical scans from 100 healthy individuals, acquired with a 3dMD scanning system. It is shown that our registration framework provides accurate geometric and anatomical alignment, and that the shape basis of the resulting statistical model provides a compact representation of the specific population. The model also provides insight into the anatomical variation of the lower arm and hand, which is useful information for the design of well-fitting products. |
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Language
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English
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Source (book)
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Advances in Human Factors in Simulation and Modeling. AHFE 2018. / Cassenti, D.N. [edit.]
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Source (series)
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Advances in Intelligent Systems and Computing; 780
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Publication
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Cham
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Springer
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2019
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ISSN
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2194-5357
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ISBN
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978-3-319-94222-3
978-3-319-94223-0
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Volume/pages
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p. 433-445
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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