Interactive Screen-Space Triangulation for High-Quality Rendering of Point Clouds
نویسندگان
چکیده
This technical report documents work that is a precursor to the Auto Splatting technique [PJW12]. We present a rendering method that reconstructs high quality images from unorganized colored point data. While previous real-time image reconstruction approaches for point clouds make use of preprocessed data like point radii or normal estimations, 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 insitu high-quality visualization of big datasets like 3Dscans, making otherwise time-consuming preprocessing steps to reconstruct surface normals or point radii dispensable.
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