Title
Shape analysis of 3D head scan data for U.S. respirator users
Abstract
In 2003, the National Institute for Occupational Safety and Health (NIOSH) conducted a head-and-face anthropometric survey of diverse, civilian respirator users. Of the 3,997 subjects measured using traditional anthropometric techniques, surface scans and 26 three-dimensional (3D) landmark locations were collected for 947 subjects. The objective of this study was to report the size and shape variation of the survey participants using the 3D data. Generalized Procrustes Analysis (GPA) was conducted to standardize configurations of landmarks associated with individuals into a common coordinate system. The superimposed coordinates for each individual were used as commensurate variables that describe individual shape and were analyzed using Principal Component Analysis (PCA) to identify population variation. The first four principal components (PC) account for 49% of the total sample variation. The first PC indicates that overall size is an important component of facial variability. The second PC accounts for long and narrow or short and wide faces. Longer narrow orbits versus shorter wider orbits can be described by PC3, and PC4 represents variation in the degree of ortho/prognathism. Geometric Morphometrics provides a detailed and interpretable assessment of morphological variation that may be useful in assessing respirators and devising new test and certification standards.
Year
DOI
Venue
2010
10.1155/2010/248954
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
longer narrow orbit,pc account,u.s. respirator user,head-and-face anthropometric survey,total sample variation,shape variation,principal component analysis,generalized procrustes analysis,shape analysis,individual shape,population variation,morphological variation
Coordinate system,Generalized Procrustes analysis,Computer vision,Population,Anthropometry,Computer science,Morphometrics,Artificial intelligence,Respirator,Statistics,Principal component analysis,Shape analysis (digital geometry)
Journal
Volume
Issue
ISSN
2010,
1
1687-6180
Citations 
PageRank 
References 
1
0.34
0
Authors
5
Name
Order
Citations
PageRank
Ziqing Zhuang111.02
Dennis E. Slice210.34
Stacey Benson310.68
Stephanie Lynch410.34
Dennis J. Viscusi510.34