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

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

4 Scopus Citations
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Original languageEnglish
Pages (from-to)229-250
Journal / PublicationMachine Vision and Applications
Issue number4
Publication statusPublished - Sept 2006


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.

Research Area(s)

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