SBM15: Sketch Based Interfaces and Modeling 2015

Permanent URI for this collection

Expressive 2015

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

Istanbul, Turkey | June 2015

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

BibTeX (SBM15: Sketch Based Interfaces and Modeling 2015)
@inproceedings{
10.2312:exp.20151175,
booktitle = {
Sketch-Based Interfaces and Modeling},
editor = {
Ergun Akleman
}, title = {{
Inverse Toon Shading: Interactive Normal Field Modeling with Isophotes}},
author = {
Xu, Qiuying
and
Gingold, Yotam
and
Singh, Karan
}, year = {
2015},
publisher = {
The Eurographics Association},
DOI = {
10.2312/exp.20151175}
}
@inproceedings{
10.2312:exp.20151176,
booktitle = {
Sketch-Based Interfaces and Modeling},
editor = {
Ergun Akleman
}, title = {{
Adding Dynamics to Sketch-based Character Animations}},
author = {
Guay, Martin
and
Ronfard, Rémi
and
Gleicher, Michael
and
Cani, Marie-Paule
}, year = {
2015},
publisher = {
The Eurographics Association},
DOI = {
10.2312/exp.20151176}
}
@inproceedings{
10.2312:exp.20151178,
booktitle = {
Sketch-Based Interfaces and Modeling},
editor = {
Ergun Akleman
}, title = {{
ShipShape: A Drawing Beautification Assistant}},
author = {
Fišer, Jakub
and
Asente, Paul
and
Sýkora, Daniel
}, year = {
2015},
publisher = {
The Eurographics Association},
DOI = {
10.2312/exp.20151178}
}
@inproceedings{
10.2312:exp.20151179,
booktitle = {
Sketch-Based Interfaces and Modeling},
editor = {
Ergun Akleman
}, title = {{
Real-Time Activity Prediction: A Gaze-Based Approach for Early Recognition of Pen-Based Interaction Tasks}},
author = {
Çıg, Çagla
and
Sezgin, Tevfik Metin
}, year = {
2015},
publisher = {
The Eurographics Association},
DOI = {
10.2312/exp.20151179}
}
@inproceedings{
10.2312:exp.20151184,
booktitle = {
Sketch-Based Interfaces and Modeling},
editor = {
Ergun Akleman
}, title = {{
SVM-based Sketch Recognition: Which Hyperparameter Interval to Try?}},
author = {
Yesilbek, Kemal Tugrul
and
Sen, Cansu
and
Cakmak, Serike
and
Sezgin, T. Metin
}, year = {
2015},
publisher = {
The Eurographics Association},
DOI = {
10.2312/exp.20151184}
}
@inproceedings{
10.2312:exp.20151185,
booktitle = {
Sketch-Based Interfaces and Modeling},
editor = {
Ergun Akleman
}, title = {{
A Combined Junction-Cue Dictionary for Labelling Sketch Drawings with Artistic Shadows and Table-line Cues}},
author = {
Bonnici, Alexandra
and
Camilleri, Kenneth P.
}, year = {
2015},
publisher = {
The Eurographics Association},
DOI = {
10.2312/exp.20151185}
}

Browse

Recent Submissions

Now showing 1 - 6 of 6
  • Item
    Inverse Toon Shading: Interactive Normal Field Modeling with Isophotes
    (The Eurographics Association, 2015) Xu, Qiuying; Gingold, Yotam; Singh, Karan; Ergun Akleman
    We introduce an interactive modeling tool for designing a smooth 3D normal field from the isophotes of a discretely shaded 2D image. Block or cartoon shading is a visual style in which artists depict a smoothly shaded 3D object using a small number of discrete brightness values, manifested as regions or bands of constant color. In our approach, artists trace isophotes, or curves of constant brightness, along the boundaries between constant color bands. Our algorithm first estimates light directions and computes 3D normals along the object silhouette and at intersections between isophotes from different light sources. We then propagate these 3D normals smoothly along isophotes, and subsequently throughout the interior of the shape. We describe our user interface for editing isophotes and correcting unintended normals produced by our algorithm. We validate our approach with a perceptual experiment and comparisons to ground truth data. Finally, we present a set of 3D renderings created using our interface.
  • Item
    Adding Dynamics to Sketch-based Character Animations
    (The Eurographics Association, 2015) Guay, Martin; Ronfard, Rémi; Gleicher, Michael; Cani, Marie-Paule; Ergun Akleman
    Cartoonists and animators often use lines of action to emphasize dynamics in character poses. In this paper, we propose a physically-based model to simulate the line of action's motion, leading to rich motion from simple drawings. Our proposed method is decomposed into three steps. Based on user-provided strokes, we forward simulate 2D elastic motion. To ensure continuity across keyframes, we re-target the forward simulations to the drawn strokes. Finally, we synthesize a 3D character motion matching the dynamic line. The fact that the line can move freely like an elastic band raises new questions about its relationship to the body over time. The line may move faster and leave body parts behind, or the line may slide slowly towards other body parts for support. We conjecture that the artist seeks to maximize the filling of the line (with the character's body)-while respecting basic realism constraints such as balance. Based on these insights, we provide a method that synthesizes 3D character motion, given discontinuously constrained body parts that are specified by the user at key moments.
  • Item
    ShipShape: A Drawing Beautification Assistant
    (The Eurographics Association, 2015) Fišer, Jakub; Asente, Paul; Sýkora, Daniel; Ergun Akleman
    Sketching is one of the simplest ways to visualize ideas. Its key advantage is requiring the user to have neither deep knowledge of a particular drawing software nor any advanced drawing skills. In practice, however, all these skills become necessary to improve the visual fidelity of the resulting drawing. In this paper, we present ShipShape-a general beautification assistant that allows users to maintain the simplicity and speed of freehand sketching while still taking into account implicit geometric relations to automatically rectify the output image. In contrast to previous approaches ShipShape works with general Bézier curves, enables undo/redo operations, is scale independent, and is fully integrated into Adobe Illustrator. We demonstrate various results to demonstrate capabilities of the proposed method.
  • Item
    Real-Time Activity Prediction: A Gaze-Based Approach for Early Recognition of Pen-Based Interaction Tasks
    (The Eurographics Association, 2015) Çıg, Çagla; Sezgin, Tevfik Metin; Ergun Akleman
    Recently there has been a growing interest in sketch recognition technologies for facilitating human-computer interaction. Existing sketch recognition studies mainly focus on recognizing pre-defined symbols and gestures. However, just as there is a need for systems that can automatically recognize symbols and gestures, there is also a pressing need for systems that can automatically recognize pen-based manipulation activities (e.g. dragging, maximizing, minimizing, scrolling). There are two main challenges in classifying manipulation activities. First is the inherent lack of characteristic visual appearances of pen inputs that correspond to manipulation activities. Second is the necessity of real-time classification based upon the principle that users must receive immediate and appropriate visual feedback about the effects of their actions. In this paper (1) an existing activity prediction system for pen-based devices is modified for real-time activity prediction and (2) an alternative time-based activity prediction system is introduced. Both systems use eye gaze movements that naturally accompany pen-based user interaction for activity classification. The results of our comprehensive experiments demonstrate that the newly developed alternative system is a more successful candidate (in terms of prediction accuracy and early prediction speed) than the existing system for real-time activity prediction. More specifically, midway through an activity, the alternative system reaches 66% of its maximum accuracy value (i.e. 66% of 70.34%) whereas the existing system reaches only 36% of its maximum accuracy value (i.e. 36% of 55.69%).
  • Item
    SVM-based Sketch Recognition: Which Hyperparameter Interval to Try?
    (The Eurographics Association, 2015) Yesilbek, Kemal Tugrul; Sen, Cansu; Cakmak, Serike; Sezgin, T. Metin; Ergun Akleman
    Hyperparameters are among the most crucial factors that affect the performance of machine learning algorithms. In general, there is no direct method for determining a set of satisfactory parameters, so hyperparameter search needs to be conducted each time a model is to be trained. In this work, we analyze how similar hyperparameters perform across various datasets from the sketch recognition domain. Results show that hyperparameter search space can be reduced to a subspace despite differences in characteristics of datasets.
  • Item
    A Combined Junction-Cue Dictionary for Labelling Sketch Drawings with Artistic Shadows and Table-line Cues
    (The Eurographics Association, 2015) Bonnici, Alexandra; Camilleri, Kenneth P.; Ergun Akleman
    The interpretation of user sketches generates research interest in the product design community since the computer interpretation of sketches may reduce the design-to-market time while giving the designer greater flexibility and control of the design process. This paper describes how cues, namely shadows and table lines used to express structural form in the drawing, may be used in a line-labelling algorithm to obtain a drawing interpretation that matches some design intent. To this extent, this paper describes canonical forms of the cues from which a combined junction and cue dictionary is created and used within a genetic algorithm framework to label the drawing. This paper also describes how such cues may be identified from the sketch.