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Efficient image reconstruction for point-based and line-based rendering

Ricardo Marroquim, Martin Kraus, Paulo Roma Cavalcanti
COPPE-Sistemas, Universidade Federal do Rio de Janeiro, Cidade Universitaria-Ilha do Fundao, Caixa Postal 68530, CEP 21945-970, Rio de Janeiro, RJ, Brazil
Computers & Graphics, Volume 32, Issue 2, April 2008, Pages 189-203

@article{marroquim2008efficient,

   title={Efficient image reconstruction for point-based and line-based rendering},

   author={Marroquim, R. and Kraus, M. and Cavalcanti, P.R.},

   journal={Computers & Graphics},

   volume={32},

   number={2},

   pages={189–203},

   issn={0097-8493},

   year={2008},

   publisher={Elsevier}

}

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We address the problem of an efficient image-space reconstruction of adaptively sampled scenes in the context of point-based and line-based graphics. The image-space reconstruction offers an advantageous time complexity compared to surface splatting techniques and, in fact, our improved GPU implementation performs significantly better than splatting implementations for large point-based models. We discuss the integration of elliptical Gaussian weights for enhanced image quality and generalize the image-space reconstruction to line segments. Furthermore, we present solutions for the efficient combination of points, lines, and polygons in a single image.
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