Aesthetics of Curvature Bases for Sketches (Unknown language)

In: ACM/EG Expressive Symposium   ;  101-110  ;  2019

How to get this document?

Download
Commercial Copyright fee: €14.50 Basic fee: €4.00 Total price: €18.50
Academic Copyright fee: €4.50 Basic fee: €2.00 Total price: €6.50

In this work we propose a curve approximation method that operates in the curvature domain. The curvature is represented using one of several different types of basis functions (linear, quadratic, spline, sinusoidal, orthogonal polynomial), and the curve's geometry is reconstructed from that curvature basis. Our hypothesis is that different curvature bases will result in different aesthetics for the reconstructed curve. We conducted a user study comparing multiple curvature bases, both for aesthetics and similarity to the original curve, and found statistically significant differences in how people ranked the reconstructed curve's aesthetics and similarity. To support adaptive curve fitting we developed a fitting algorithm that matches the original curve's geometry and explicitly accounts for corners.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Non-Photorealistic Animation for Immersive Storytelling
Curtis, Cassidy J. / Dart, Kevin / Latzko, Theresa / Kahrs, John | 2019
11
Video Motion Stylization by 2D Rigidification
Delanoy, Johanna / Bousseau, Adrien / Hertzmann, Aaron | 2019
21
Learning from Multi-domain Artistic Images for Arbitrary Style Transfer
Xu, Zheng / Wilber, Michael / Fang, Chen / Hertzmann, Aaron / Jin, Hailin | 2019
33
Real-Time Patch-Based Stylization of Portraits Using Generative Adversarial Network
Futschik, David / Chai, Menglei / Cao, Chen / Ma, Chongyang / Stoliar, Aleksei / Korolev, Sergey / Tulyakov, Sergey / Kučera, Michal / Sýkora, Daniel | 2019
43
Enhancing Neural Style Transfer using Patch-Based Synthesis
Texler, Ondřej / Fišer, Jakub / Lukáč, Mike / Lu, Jingwan / Shechtman, Eli / Sýkora, Daniel | 2019
51
Sketching and Layering Graffiti Primitives
Berio, Daniel / Asente, Paul / Echevarria, Jose / Leymarie, Frederic Fol | 2019
61
Single Stroke Aerial Robot Light Painting
Ren, Kejia / Kry, Paul G. | 2019
69
Generating Playful Palettes from Images
DiVerdi, Stephen / Lu, Jingwan / Echevarria, Jose / Shugrina, Maria | 2019
79
Aesthetically-Oriented Atmospheric Scattering
Shen, Yang / Mallett, Ian / Shkurko, Konstantin | 2019
87
Abstract Shape Synthesis From Linear Combinations of Clelia Curves
Putnam, Lance / Todd, Stephen / Latham, William | 2019
101
Aesthetics of Curvature Bases for Sketches
Lippincott, Keith / Hatton, Ross L. / Grimm, Cindy | 2019
111
Defining Hatching in Art
Philbrick, Greg / Kaplan, Craig S. | 2019
123
Stipple Removal in Extreme-tone Regions
Azami, Rosa / Doyle, Lars / Mould, David | 2019
133
Irregular Pebble Mosaics with Sub-Pebble Detail
Javid, Ali Sattari / Doyle, Lars / Mould, David | 2019
Feedback