An Articulating Statistical Shape Model of the Human Hand. Van Houtte J et al.
Date: July 2018.
Source: International Conference on Applied Human Factors and Ergonomics (AHFE 2018). Advances in Human Factors in Simulation and Modeling. Advances in Intelligent Systems and Computing, Vol 780, pp 433-445. Springer.
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.
Article: An Articulating Statistical Shape Model of the Human Hand.
Authors: Jeroen Van Houtte, Kristina Stanković, Brian G Booth, Femke Danckaers, Véronique Bertrand, Frederik Verstreken, Jan Sijbers, Toon Huysmans. Delft University of Technology, Delft, The Netherlands.