A general framework to generate sizing systems from 3D motion data applied to face mask design

DOIResolve DOI: http://doi.org/10.1109/3DV.2014.43
AuthorSearch for: ; Search for: ; Search for: ; Search for:
Proceedings title2014 2nd International Conference on 3D Vision
Conference2014 2nd International Conference on 3D Vision (3DV), December 8-11, 2014, Tokyo
AbstractFor the design of mass-produced wearable objects for a population it is important to find a small number of sizes, called a sizing system, that will fit well on a wide range of individuals in the population. To obtain a sizing system that incorporates the shape of an identity along with its motion, we introduce a general framework to generate a sizing system for dynamic 3D motion data. Based on a registered 3D motion database a sizing system is computed for task-specific anthropometric measurements and tolerances, specified by designers. We generate the sizing system by transforming the problem into a box stabbing problem, which aims to find the lowest number of points stabbing a set of boxes. We use a standard computational geometry technique to solve this, it recursively computes the stabbing of lower-dimensional boxes. We apply our framework to a database of facial motion data for anthropometric measurements related to the design of face masks. We show the generalization capabilities of this sizing system on unseen data, and compute, for each size, a representative 3D shape that can be used by designers to produce a prototype model.
Publication date
AffiliationInformation and Communication Technologies; National Research Council Canada
Peer reviewedYes
NPARC number23000654
Export citationExport as RIS
Report a correctionReport a correction
Record identifiere189052c-203c-420b-8994-1810dd172026
Record created2016-08-18
Record modified2016-08-18
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)