Anti-aliasing technique for surface reconstruction of confocal data

Research output: Contribution to journalArticlepeer-review

Abstract

There might exists missing holes and aliasing on the projected image by way of representing object surface with boundary voxels and projecting boundary voxels to the screen as points to render the shading image of the object. An anti-aliasing technique for surface reconstruction is proposed. Firstly, the boundary voxel sets is generated by dividing cubes; Secondly, the values of the center point of the boundary voxel sets is obtained to form the surface point sets. Then, a footprint function is chosen to calculate the effect region of the surface point on the pixel on the screen, and the result value is used as the weight of the pixel. This processing is just like splattering, so the missing holes is eliminated and the display quality is improved. Experimental results show that both the surface reconstruction and the display performance of the technique are satisfactory.

Original languageEnglish
Pages (from-to)1054-1057
Number of pages4
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume31
Issue number10
StatePublished - Oct 2005

Keywords

  • Anti-aliasing
  • Confocal imaging
  • Dividing cubes algorithm
  • Surface reconstruction

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