3D shape reconstruction from 2D images

Daisuke Hirano, Yusuke Funayama, Takashi Maekawa

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

We present a method of reconstructing a 3D model from several 2D images of an object taken from different views. The data acquisition system consists of a camera on a tripod, and a computer-controlled turntable. We employ the Shape-From-Silhouette (SFS) method, which constructs a voxel-based 3D model from silhouette images. The concave shapes are further carved by using the space carving technique. In order to make the resulting model compatible with the CAD/CAM system, the voxel model is converted into a triangular mesh using the Marching Cubes algorithm. Since the mesh generated from the voxel model by using the Marching Cubes algorithm inherits the staircase effect, the mesh is adjusted to recover the object precisely by using silhouette images. Finally, we evaluate the accuracy of the proposed method. The reconstructed models of complex objects show the effectiveness of the proposed inexpensive 3D shape reconstruction system.

Original languageEnglish
Pages (from-to)701-710
Number of pages10
JournalComputer-Aided Design and Applications
Volume6
Issue number5
DOIs
Publication statusPublished - 2009
Externally publishedYes

Keywords

  • Marching cubes
  • Shape reconstruction
  • Shape-from-silhouette

ASJC Scopus subject areas

  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Computational Mathematics

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