Feature-guided Convolution for Pencil Rendering

Yang, Heekyung; Min, Kyungha

doi:10.3837/tiis.2011.07.006

Cited by 4 publications

(15 citation statements)

References 33 publications

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“…The method has been extended for colored pencil drawing [12] and video [13,14]. Recently, several more works have been done to add further improvements to the original LICbased method [15][16][17].…”

Section: Pencil Drawing Generationmentioning

confidence: 98%

“…Among large number of pencil drawing generation techniques based on image processing or filtering [12][13][14][15][16][17][18], a major scheme is to use LIC (Line Integral Convolution). LIC is a texture-based flow visualization technique which visualizes a flow field by low-pass filtering a white noise along the local streamlines of the vector field.…”

Section: Pencil Drawing Generationmentioning

confidence: 99%

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Automatic generation of accentuated pencil drawing with saliency map and LIC

2012

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An artist usually does not draw all the areas in a picture homogeneously but tries to make the work more expressive by emphasizing what is important while eliminating irrelevant details. Creating expressive painterly images with such accentuation effect remains to be a challenge because of the subjectivity of information selection. This paper presents a novel technique for automatically converting an input image into a pencil drawing with such emphasis and elimination effect. The proposed technique utilizes saliency map, a computational model for visual attention, to predict the focus of attention in the input image. A new level of detail controlling algorithm using multi-resolution pyramid is also developed for locally adapting the rendering parameters, such as the density, orientation and width of pencil strokes, to the degree of attention defined by saliency map. Experimental results show that the images generated with the proposed method present the visual effect similar to that of the real pencil drawing and can successfully direct the viewer's attention toward the focus.

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Section: Pencil Drawing Generationmentioning

confidence: 98%

Section: Pencil Drawing Generationmentioning

confidence: 99%

Automatic generation of accentuated pencil drawing with saliency map and LIC

2012

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“…We present a swing bilateral LIC (SBL), a convolution‐based approach to control the pencil drawing styles and to resolve some of the problems exhibited by previous convolution‐based schemes. Most of the works using conventional convolution to produce pencil drawing effects [MNI02, YMI04b, YMI04a, YM11] suffer from smeared boundaries, incorrect tone and obscured highlights. The bilateral convolution filter introduced by by Kang et al [KLC09], which was designed for image abstraction, can remedy the listed problems, but it has a limitation in controlling the pencil drawing styles.…”

Section: Introductionmentioning

confidence: 99%

“…We use three different types of flow to control different aspects of a rendering. In Section 5.1 we contrast the edge tangent flow [YM11], RBF function [HE04], and image parsing [ZZXZ09] techniques which other authors have used to determine stroke direction with our own scheme. Color customization: Most existing pencil drawing schemes are restricted to monochrome. Others [YMI04a, MJN05, MTG05] can produce color, but cannot match the tones of an input photograph successfully.…”

Section: Introductionmentioning

confidence: 99%

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A Stylized Approach for Pencil Drawing from Photographs

Yang

Kwon

Min

2012

Computer Graphics Forum

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We present a stylized scheme that produces pencil drawings in a range of styles from an image. To produce controllable pencil drawing effects and remedy the problems of existing convolution‐based schemes, we develop a swing bilateral LIC (SBL) filter. Our first approach to express the styled pencil drawings is to control the directions of pencil strokes that depicts both shapes and smooth tone. Another approach is to produce colors of pencil drawings by sampling colors from real color pencils. The third approach is to mimic the artistic technique that increases the details of drawings in a progressive manner. We present drawings in several styles and compare some of them directly with illustrations taken from an artists' work.

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Simulation of Color Pencil Drawing using LIC

Yang¹

2012

KSII TIIS

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We present a novel approach for the simulation of color pencil effects using line integral convolution (LIC) to produce pencil drawings from images. Our key idea is to use a bilateral convolution filter to simulate the various effects of pencil strokes. Our filter resolves the drawbacks of the existing convolution-based schemes, and presents an intuitive control to mimic the properties of pencil strokes. We also present a scheme that determines stroke directions from the shapes to be drawn. Smooth tangent flows are used for the pixels close to feature lines, and partially parallel flows inside regions. The background is rendered using a flow of fixed direction. Using different styles of stroke directions increases the realism of the resulting images. This approach produces convincing pencil drawing effects from photographs.

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Feature-guided Convolution for Pencil Rendering

Cited by 4 publications

References 33 publications

Automatic generation of accentuated pencil drawing with saliency map and LIC

Automatic generation of accentuated pencil drawing with saliency map and LIC

A Stylized Approach for Pencil Drawing from Photographs

Simulation of Color Pencil Drawing using LIC

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