@inproceedings{48e71172208245d6bc725c76d7a84c56,
title = "An Articulating Statistical Shape Model of the Human Hand",
abstract = "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.",
keywords = "Articulation-model, Registration, Human hand , Statistical shape modelling",
author = "{Van Houtte}, Jeroen and Kristina Stankovi{\'c} and Booth, {Brian G.} and Femke Danckaers and V{\'e}ronique Bertrand and Frederik Verstreken and Jan Sijbers and Toon Huysmans",
year = "2019",
doi = "10.1007/978-3-319-94223-0_41",
language = "English",
isbn = "978-3-319-94222-3",
series = "Advances in Intelligent Systems and Computing ",
publisher = "Springer",
pages = "433--445",
editor = "Cassenti, {Daniel N.}",
booktitle = "Advances in Human Factors in Simulation and Modeling",
note = "AHFE 2018 : International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization ; Conference date: 21-07-2018 Through 25-07-2018",
}