Image-based rendering of surfaces from volume data

  • Authors:

  • Baoquan Chen;Arie Kaufman;Qingyu Tang

  • Affiliations:

  • Computer Science & Engineering Department, University of Minnesota at Twin Cities, Minneapolis, MN;Center for Visual Computing and Computer Science Department, State University of New York at Stony Brook, Stony Brook, NY;Center for Visual Computing and Computer Science Department, State University of New York at Stony Brook, Stony Brook, NY

  • Venue:
  • VG'01 Proceedings of the 2001 Eurographics conference on Volume Graphics
  • Year:
  • 2001

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Abstract

We present an image-based rendering technique to accelerate rendering of surfaces from volume data. We cache the fully volume rendered image (called keyview) and use it to generate novel views without ray-casting every pixel. This is achieved by first constructing an underlying surface model of the volume and then texture mapping the keyview onto the geometry.When the novel view moves slightly away from the keyview, most of the original visible regions in the keyview are still visible in the novel view. Therefore, we only need to cast rays for pixels in the newly visible regions, which usually occupy only a small portion of the whole image, resulting in a substantial speedup. We have applied our technique to a virtual colonoscopy system and have obtained an interactive navigation speed through a 5123 size patient colon. Our experiments demonstrate an average of an order of magnitude speedup over that of traditional volume rendering, compromising very little on image quality.