Adaptive extraction and visualization of silhouette curves from volumetric datasets

  • Authors:
  • Sagi Schein;Gershon Elber

  • Affiliations:
  • Technion, Computer Science Department, Israel;Technion, Computer Science Department, Israel

  • Venue:
  • The Visual Computer: International Journal of Computer Graphics
  • Year:
  • 2004

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Abstract

An algorithm for silhouette extraction from volumetric data is presented. Trivariate tensor product B-spline functions are used to represent the data. An offline phase that arranges the data in a lookup table is employed to improve the computation time during an interactive session. A subdivision scheme is employed to extract the silhouette curves from an implicit trivariate B-spline function. The produced results are smooth, high-quality silhouette curves when compared to voxel-based silhouette extraction schemes.