@inproceedings {1854, title = {An Articulating Statistical Shape Model of the Human Hand}, booktitle = {Advances in Human Factors in Simulation and Modeling (AHFE 2018)}, volume = {780}, year = {2019}, pages = {433{\textendash}445}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, 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.}, isbn = {978-3-319-94223-0}, doi = {10.1007/978-3-319-94223-0_41}, author = {Jeroen Van Houtte and Kristina Stankovi{\'c} and Brian G Booth and Femke Danckaers and Bertrand, V{\'e}ronique and Frederik Verstreken and Jan Sijbers and Toon Huysmans}, editor = {Cassenti, Daniel N.} }