NPAR15

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/12611

Expressive 2015

Joint Symposium of
Computational Aesthetics (CAe)
Non-Photorealistic Animation and Rendering (NPAR)
Sketch-Based Interfaces and Modeling (SBIM)

Istanbul, Turkey | June 2015

Table of Contents
Rendering and Modeling
Rendering Artistic Light Patterns
[full paper Image] [meta data Image]
Li Ji, Amy Gooch, Lynda Gammon, and Brian Wyvill
Inverse Toon Shading: Interactive Normal Field Modeling with Isophotes
[full paper Image] [meta data Image]
Qiuying Xu, Yotam Gingold, and Karan Singh
Adding Dynamics to Sketch-based Character Animations
[full paper Image] [meta data Image]
Martin Guay, Rémi Ronfard, Michael Gleicher, and Marie-Paule Cani
Computational Models for the Analysis and Synthesis of Graffiti Tag Strokes
[full paper Image] [meta data Image]
Daniel Berio and Frederic Fol Leymarie
Stylization
ShipShape: A Drawing Beautification Assistant
[full paper Image] [meta data Image]
Jakub Fišer, Paul Asente, and Daniel Sýkora
Real-Time Activity Prediction: A Gaze-Based Approach for Early Recognition of Pen-Based Interaction Tasks
[full paper Image] [meta data Image]
Çagla Çıg and Tevfik Metin Sezgin
Style-aware Robust Color Transfer
[full paper Image] [meta data Image]
Hristina Hristova, Olivier Le Meur, Rémi Cozot, and Kadi Bouatouch
Hybrid-Space Localized Stylization Method for View-Dependent Lines Extracted from 3D Models
[full paper Image] [meta data Image]
Luis Cardona and Suguru Saito
Recognition
Semi-Automatic Digital Epigraphy from Images with Normals
[full paper Image] [meta data Image]
Sema Berkiten, Xinyi Fan, and Szymon Rusinkiewicz
Drawing Characteristics for Reproducing Traditional Hand-Made Stippling
[full paper Image] [meta data Image]
Domingo Martín, Vicente del Sol, Celia Romo, and Tobias Isenberg
SVM-based Sketch Recognition: Which Hyperparameter Interval to Try?
[full paper Image] [meta data Image]
Kemal Tugrul Yesilbek, Cansu Sen, Serike Cakmak, and T. Metin Sezgin
A Combined Junction-Cue Dictionary for Labelling Sketch Drawings with Artistic Shadows and Table-line Cues
[full paper Image] [meta data Image]
Alexandra Bonnici and Kenneth P. Camilleri
Working with Images
Image Warping for a Painterly Effect
[full paper Image] [meta data Image]
Jiayu Li and David Mould
Shake it up - Image Decomposition and Rearrangements of Its Constituents
[full paper Image] [meta data Image]
Lena Gieseke, Sven Klingel, and Martin Fuchs
Image Stylization by Oil Paint Filtering using Color Palettes
[full paper Image] [meta data Image]
Amir Semmo, Daniel Limberger, Jan Eric Kyprianidis, and Jürgen Döllner
Non-Photorealistic Rendering of Portraits
[full paper Image] [meta data Image]
Paul L. Rosin and Yu-Kun Lai
Synthesis
Painting with Flowsnakes
[full paper Image] [meta data Image]
Brian Wyvill
Texture-Aware ASCII Art Synthesis with Proportional Fonts
[full paper Image] [meta data Image]
Xuemiao Xu, Linyuan Zhong, Minshan Xie, Jing Qin, Yilan Chen, Qiang Jin, Tien-Tsin Wong, and Guoqiang Han
Video Granular Synthesis
[full paper Image] [meta data Image]
Angus Graeme Forbes and Javier Villegas
The Markov Pen: Online Synthesis of Free-Hand Drawing Styles
[full paper Image] [meta data Image]
Katrin Lang and Marc Alexa

BibTeX (NPAR15)
@inproceedings{
10.2312:exp.20151181,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
David Mould and Pierre Bénard
},
title = {{
Hybrid-Space Localized Stylization Method for View-Dependent Lines Extracted from 3D Models}},

author = {
Cardona, Luis
 and 
Saito, Suguru
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/exp.20151181}

}
@inproceedings{
10.2312:exp.20151182,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
David Mould and Pierre Bénard
},
title = {{
Semi-Automatic Digital Epigraphy from Images with Normals}},

author = {
Berkiten, Sema
 and 
Fan, Xinyi
 and 
Rusinkiewicz, Szymon
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/exp.20151182}

}
@inproceedings{
10.2312:exp.20151183,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
David Mould and Pierre Bénard
},
title = {{
Drawing Characteristics for Reproducing Traditional Hand-Made Stippling}},

author = {
Martín, Domingo
 and 
Sol, Vicente del
 and 
Romo, Celia
 and 
Isenberg, Tobias
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/exp.20151183}

}
@inproceedings{
10.2312:exp.20151191,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
David Mould and Pierre Bénard
},
title = {{
Texture-Aware ASCII Art Synthesis with Proportional Fonts}},

author = {
Xu, Xuemiao
 and 
Zhong, Linyuan
 and 
Xie, Minshan
 and 
Qin, Jing
 and 
Chen, Yilan
 and 
Jin, Qiang
 and 
Wong, Tien-Tsin
 and 
Han, Guoqiang
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/exp.20151191}

}
@inproceedings{
10.2312:exp.20151193,

booktitle = {
Non-Photorealistic Animation and Rendering},

editor = {
David Mould and Pierre Bénard
},
title = {{
The Markov Pen: Online Synthesis of Free-Hand Drawing Styles}},

author = {
Lang, Katrin
 and 
Alexa, Marc
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/exp.20151193}

}

Browse

Recent Submissions

Now showing 1 - 5 of 5
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    Item
    Hybrid-Space Localized Stylization Method for View-Dependent Lines Extracted from 3D Models
    (The Eurographics Association, 2015) Cardona, Luis; Saito, Suguru; David Mould and Pierre Bénard
    We propose a localized stylization method that combines object-space and image-space techniques to locally styl- ize view-dependent lines extracted from 3D models. In the input phase, the user can customize a style and draw strokes by tracing over view-dependent feature lines such as occluding contours and suggestive contours. For each stroke drawn, the system stores its style properties as well as its surface location on the underlying polygonal mesh as a data structure referred as registered stroke. In the rendering phase, a new attraction field leads active contours generated from the registered strokes to match current frame feature lines and maintain the style and path coordinates of strokes in nearby viewpoints. For each registered stroke, a limited surface region referred as influence area is used to improve the line matching accuracy and discard obvious mismatches. The proposed styl- ization system produces uncluttered line drawings that convey additional information such as material properties or feature sharpness and is evaluated by measuring its usability and performance.
  • Thumbnail Image
    Item
    Semi-Automatic Digital Epigraphy from Images with Normals
    (The Eurographics Association, 2015) Berkiten, Sema; Fan, Xinyi; Rusinkiewicz, Szymon; David Mould and Pierre Bénard
    We present a semi-automated system for converting photometric datasets (RGB images with normals) into geometry-aware non-photorealistic illustrations that obey the common conventions of epigraphy (black-and-white archaeological drawings of inscriptions). We focus on rock inscriptions formed by carving into or pecking out the rock surface: these are characteristically rough with shallow relief, making the problem very challenging for previous line drawing methods. Our system allows the user to easily outline the inscriptions on the rock surface, then segment out the inscriptions and create line drawings and shaded renderings in a variety of styles. We explore both constant-width and tilt-indicating lines, as well as locally shape-revealing shading. Our system produces more understandable illustrations than previous NPR techniques, successfully converting epigraphy from a manual and painstaking process into a user-guided semi-automatic process.
  • Thumbnail Image
    Item
    Drawing Characteristics for Reproducing Traditional Hand-Made Stippling
    (The Eurographics Association, 2015) Martín, Domingo; Sol, Vicente del; Romo, Celia; Isenberg, Tobias; David Mould and Pierre Bénard
    We contribute an in-depth analysis of the characteristics of traditional stippling and relate these to common practices in NPAR stippling techniques as well as to the abilities and limitations of existing printing and display technology. In our work we focus specifically on the properties of stipple dots and consider the dimensions and attributes of pens and paper types used in artistic practice. With our analysis we work toward an understanding of the requirements for digital stippling, with the ultimate goal to provide tools to artists and illustrators that can replicate the stippling process faithfully in the digital domain. From the results of our study we provide a dataset for use in new example-based stippling techniques, derive a taxonomy of characteristics and conditions for the reproduction of stippling, and define future directions of work.
  • Thumbnail Image
    Item
    Texture-Aware ASCII Art Synthesis with Proportional Fonts
    (The Eurographics Association, 2015) Xu, Xuemiao; Zhong, Linyuan; Xie, Minshan; Qin, Jing; Chen, Yilan; Jin, Qiang; Wong, Tien-Tsin; Han, Guoqiang; David Mould and Pierre Bénard
    We present a fast structure-based ASCII art generation method that accepts arbitrary images (real photograph or hand-drawing) as input. Our method supports not only fixed width fonts, but also the visually more pleasant and computationally more challenging proportional fonts, which allows us to represent challenging images with a variety of structures by characters. We take human perception into account and develop a novel feature extraction scheme based on a multi-orientation phase congruency model. Different from most existing contour detection methods, our scheme does not attempt to remove textures as much as possible. Instead, it aims at faithfully capturing visually sensitive features, including both main contours and textural structures, while suppressing visually insensitive features, such as minor texture elements and noise. Together with a deformation-tolerant image similarity metric, we can generate lively and meaningful ASCII art, even when the choices of character shapes and placement are very limited. A dynamic programming based optimization is proposed to simultaneously determine the optimal proportional-font characters for matching and their optimal placement. Experimental results show that our results outperform state-of-the-art methods in term of visual quality.
  • Thumbnail Image
    Item
    The Markov Pen: Online Synthesis of Free-Hand Drawing Styles
    (The Eurographics Association, 2015) Lang, Katrin; Alexa, Marc; David Mould and Pierre Bénard
    Learning expressive curve styles from example is crucial for interactive or computer-based narrative illustrations. We propose a method for online synthesis of free-hand drawing styles along arbitrary base paths by means of an autoregressive Markov Model. Choice on further curve progression is made while drawing, by sampling from a series of previously learned feature distributions subject to local curvature. The algorithm requires no useradjustable parameters other than one short example style. It may be used as a custom ''random brush'' designer in any task that requires rapid placement of a large number of detail-rich shapes that are tedious to create manually.