Volumetric model reconstruction from unrestricted camera views based on the photo-consistency of 3D voxel mask

K. K. Chiang, K. L. Chan

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

4 Citations (Scopus)

Abstract

This project aims to develop a three-dimensional (3D) model reconstruction system using images acquired from a mobile camera. It consists of four major steps: camera calibration, volumetric model reconstruction, surface modeling and texture mapping. A novel online scale factor estimation is developed to enhance the accuracy of the coplanar camera calibration. For the volumetric modeling, the voting-based shape-from-silhouette first generates a coarse model, which is then refined by the photo-consistency check using the novel 3D voxel mask. Our scheme can handle concave surface in a sophisticated way. Finally, the surface model is formed with the original images mapped. 3D models of some test objects are presented.
Original languageEnglish
Pages (from-to)229-250
JournalMachine Vision and Applications
Volume17
Issue number4
DOIs
Publication statusPublished - Sept 2006

Research Keywords

  • 3D model reconstruction
  • Camera calibration
  • Photo-consistency
  • Shape-from-silhouette

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