2010
DOI: 10.1145/1731047.1731056
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Programmable rendering of line drawing from 3D scenes

Abstract: This article introduces a programmable approach to nonphotorealistic line drawings from 3D models, inspired by programmable shaders in traditional rendering. This approach relies on the assumption generally made in NPR that style attributes (color, thickness, etc.) are chosen depending on generic properties of the scene such as line characteristics or depth discontinuities, etc. We propose a new image creation model where all operations are controlled through user-defined procedures in which the relations betw… Show more

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Cited by 64 publications
(68 citation statements)
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“…We offer comparisons with two representative DoG-oriented techniques in this paper: the flow-based DoG (FDoG) (Kang et al 2007) that uses edge tangent flow (ETF) to offer edge direction guidance for DoG filtering (originally computed isotropically) and the variable thresholding DoG (XDoG) (Winnemöller 2011) that introduces several additional parameters to the filtering function in order to augment the remit of rendering styles. Quite a large body of the literature (Cole et al 2008;DeCarlo et al 2003;Judd et al 2007;Grabli et al 2010) studied the problem of generating line drawings from 3D models. Yet in contrast to synthesizing from 2D images, 3D models have well-defined structures and boundaries, which make the generation process much easier and less sensitive to noise.…”
Section: Photo To Sketch Stylizationmentioning
confidence: 99%
“…We offer comparisons with two representative DoG-oriented techniques in this paper: the flow-based DoG (FDoG) (Kang et al 2007) that uses edge tangent flow (ETF) to offer edge direction guidance for DoG filtering (originally computed isotropically) and the variable thresholding DoG (XDoG) (Winnemöller 2011) that introduces several additional parameters to the filtering function in order to augment the remit of rendering styles. Quite a large body of the literature (Cole et al 2008;DeCarlo et al 2003;Judd et al 2007;Grabli et al 2010) studied the problem of generating line drawings from 3D models. Yet in contrast to synthesizing from 2D images, 3D models have well-defined structures and boundaries, which make the generation process much easier and less sensitive to noise.…”
Section: Photo To Sketch Stylizationmentioning
confidence: 99%
“…Object space hidden lines removal algorithms, as in Refs. [20][21][22], avoid this problem at the price of high computational complexity but may produce many noisy, short segments lacking the spatial and temporal coherence needed for stylization.…”
Section: Related Workmentioning
confidence: 99%
“…Grabli et al [2010] adapt this concept to the stylization of strokes in line drawings and describe programmable shaders to control style attributes such as color, texture and thickness. We adopt a complementary approach by focusing on the stylized depiction of materials, giving control to material attributes like shading and reflections.…”
Section: Related Workmentioning
confidence: 99%