Remeshing visual hull approximation by displaced butterfly subdivision surfaces

Jung Lee, Chang-Hun Kim, Sun Jeong Kim

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper proposes a new procedure for generating a displaced butterfly subdivision surface from multiple images. First, point geometry of the target object is recovered by combining LDC(Layered Depth Cube) surfel sampling scheme with the concept of visual hull based on the input images. Then the subdivision surface is generated approximating to the recovered point cloud. We use a variant displaced subdivision scheme, where scalar displacement, in the direction of a local normal, is computed via the MLS(Moving Least Squares) approximation. The resulting subdivision surface is a mesh with subdivision connectivity providing a high-quality and efficient approximation to the given images. And it is able not only to represent a natural level of detail structure of the surface, but it is also to be memory-efficient by taking advantage of smoothness properties. Experimental results show the quality of our algorithm.

Original languageEnglish
Pages (from-to)1891-1899
Number of pages9
JournalApplied Mathematics and Information Sciences
Volume8
Issue number4
DOIs
Publication statusPublished - 2014 Jul 1

Fingerprint

Subdivision Surfaces
Remeshing
Approximation
Moving Least-squares Approximation
Subdivision Scheme
Point Cloud
Least squares approximations
Subdivision
Regular hexahedron
Smoothness
Connectivity
Scalar
Mesh
Target
Experimental Results
Sampling
Data storage equipment
Geometry
Vision

Keywords

  • Displaced butterfly subdivision surfaces
  • MLS approximation
  • Visual hull

ASJC Scopus subject areas

  • Applied Mathematics
  • Numerical Analysis
  • Analysis
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Remeshing visual hull approximation by displaced butterfly subdivision surfaces. / Lee, Jung; Kim, Chang-Hun; Kim, Sun Jeong.

In: Applied Mathematics and Information Sciences, Vol. 8, No. 4, 01.07.2014, p. 1891-1899.

Research output: Contribution to journalArticle

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