Information

Abstract

We present a novel rendering technique that reconstructs high quality images from unorganized colored point data. While previous point rendering approaches make mostly use of preprocessed point normals and radii, our algorithm only requires position and color data as input and produces a reconstructed color image, normal map and depth map which can instantly be used to apply further deferred lighting passes. Our method performs a world-space neighbor search and a subsequent normal estimation in screen-space, and uses the geometry shader to triangulate the color, normal and depth information of the points. To achieve correct visibility and closed surfaces in the projected image a temporal coherence approach reuses triangulated depth information and provides adaptive neighbor search radii. Our algorithm is especially suitable for in-situ high-quality visualization of big datasets like 3D-scans, making otherwise time-consuming preprocessing steps to reconstruct surface normals and point radii dispensable.

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BibTeX

@WorkshopTalk{preiner11IR,
  title =      "Screen-Space Triangulation for Interactive Point Rendering",
  author =     "Reinhold Preiner",
  year =       "2011",
  abstract =   "We present a novel rendering technique that reconstructs
               high quality images from unorganized colored point data.
               While previous point rendering approaches make mostly use of
               preprocessed point normals and radii, our algorithm only
               requires position and color data as input and produces a
               reconstructed color image, normal map and depth map which
               can instantly be used to apply further deferred lighting
               passes.  Our method performs a world-space neighbor search
               and a subsequent normal estimation in screen-space, and uses
               the geometry shader to triangulate the color, normal and
               depth information of the points. To achieve correct
               visibility and closed surfaces in the projected image a
               temporal coherence approach reuses triangulated depth
               information and provides adaptive neighbor search radii. Our
               algorithm is especially suitable for in-situ high-quality
               visualization of big datasets like 3D-scans, making
               otherwise time-consuming preprocessing steps to reconstruct
               surface normals and point radii dispensable. ",
  month =      jun,
  location =   "Vienna",
  keywords =   "point visualization, screen space reconstruction",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/",
}