An Articulating Statistical Shape Model of the Human Hand

TitleAn Articulating Statistical Shape Model of the Human Hand
Publication TypeConference Paper
Year of Publication2019
AuthorsJ. Van Houtte, K. Stanković, B. G. Booth, F. Danckaers, V. Bertrand, F. Verstreken, J. Sijbers, and T. Huysmans
EditorD. N. Cassenti
Conference NameAdvances in Human Factors in Simulation and Modeling
Pagination433–445
PublisherSpringer International Publishing
Conference LocationCham
ISBN Number978-3-319-94223-0
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.

DOI10.1007/978-3-319-94223-0_41
Research area: