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D. Gibson, “Parametric Feature Recognition and Surface Construction from Digital Point Cloud Scans of Mechanical Parts,” Thesis, University of Oklahoma, Norman, 2004.

has been cited by the following article:

• TITLE: Reverse Engineering Closely-Spaced Free-Form Shapes for a Fabric-Over-Body Model

  AUTHORS: Daniel Chen, Anish Ravindran, Pradeep Vishwabrahmanasaraf

  KEYWORDS: Reverse Engineering, Point Cloud Data, Mesh Generation, Delaunay Meshing, Quality Checks

  JOURNAL NAME: Engineering, Vol.3 No.10, October 21, 2011

  ABSTRACT: This paper presents a case study of reverse engineering closely-spaced free-form shapes. The raw point cloud data captured from a body scanner was processed to filter most noise and redundancy. They were used to generate meshes through triangulation of points. Upon removal of inconsistencies resulted from residual noise, the clean-up meshes were then used to reconstruct the free-form surfaces that represented a fabric layer and a human body surface. The solid produced between these two surfaces is the fabric-over-body model. It helped generate a FEA (finite-element analysis) mesh with quality checks, such as distortion and stretch, were performed for all the meshed tetrahedral elements. The purpose is to prepare a FEA-ready model for future CFD (computational fluid dynamics) analysis.