Computers & Graphics 59 (2016) A2
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Editorial
Foreword to the Special Section on Expressive 2015
Expressive is a Joint Symposium series that brings together three sub-symposia: Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering. The Symposium is home to researchers with diverse and complementary interests from these three communities. One particular theme that runs across the series is the emphasis on the use of computation to empower expressive interaction and creation. In 2015, the conference was held in Istanbul, Turkey. This Special Section contains extended versions of three excellent papers presented in Istanbul. Authors of these papers were invited after carefully reviewing the Expressive 2015 papers. During this process, the papers were particularly evaluated beyond excellence for their potential of substantial extensions with the interest of the C&G readership in mind. The first paper [1] is from the Sketch-Based Interfaces and Modeling track, and addresses the issue of interactive beautification. Sketching is an inherently ambiguous process. This is partly because it is incremental, and the sketcher may have left out parts of what was actually intended as a whole. Sketches are also imprecise (messy) due to their free-hand nature. Humans are capable of perceiving important geometric properties of handdrawn scenes despite ambiguities and noise, however, computers are less adept at it. This has lead to a number of beautification systems in the literature, which attempt converting hand-drawn input into a cleaned up precise manifestation of what the sketcher might have intended. The paper by Fiser et al. describes a beautification system that aims to leverage computational power of the computer, and a cleverly crafted user interface. The system presented in the paper, ShipShape, supports polycurves composed of cubic Béziers, line segments and arcs. The second paper also introduces an interactive tool for supporting creativity and design. In their paper, Xu et al. describe a modeling tool for constructing 3D normal fields from objects represented as iso-luminant boundary curves (isophote curves) [2]. They describe a 2D interface for creating silhouettes and isophotes. In addition, they propose two algorithms, one for computing smooth 3D normal fields that match the input, and the other for extracting a height field from a normal field with a shadow. They present results from perceptual studies demonstrating the validity of these transformations. The third paper, again an interactive tool presentation, describes a system for transforming images into an oil painting
http://dx.doi.org/10.1016/j.cag.2016.06.005 0097-8493/& 2016 Published by Elsevier Ltd.
look [3]. The paper introduces a method for extracting dominant colors in the image to build a global color palette. This is followed by a quantization algorithm, which effectively extracts regions with similar color. Finally an interactive painting interface that makes use of paint textures is described. I invite the readers to enjoy the painterly rendered images included in the manuscript. High quality printouts of these images were put on display in Istanbul, and attracted ample attention. The papers in this special section should give a taste of what was covered in Expressive 2015. I hope they will inspire you to look into the full set of papers and posters from the symposium.
References [1] Fiser J, Asente P, Schiller S, Sýkora D. Advanced drawing beautification with shipshape. Comput Graph 2016;56:46–58. [2] Xu Q, Liu S, Gingold Y, Singh K. Using isophotes and shadows to interactively model normal and height fields. Comput Graph 2016;59:130–42. [3] Semmo A, Limberger D, Kyprianidis JE, Dollner J. Image stylization by interactive oil paint filtering. Comput Graph 2016;55:157–71.
T. Metin Sezgin graduated summa cum laude with Honors from Syracuse University in 1999. He received his MS and PhD degrees from Massachusetts Institute of Technology in 2001 and 2006 respectively. He subsequently joined the University of Cambridge Computer Laboratory as a Postdoctoral Research Associate. Dr. Sezgin is currently an Associate Professor in the College of Engineering at Koç University, Istanbul. His research interests include intelligent human–computer interfaces, and HCI applications of machine learning. He is a recipient of the Career Award of the Scientific and Technological Research Council of Turkey, and the Outstanding Young Scientists Award of the Turkish Academy of Sciences.
Tevfik Metin Sezgin Koç University, College of Engineering, 34450 Istanbul, Turkey E-mail address:
[email protected] URL: http://home.ku.edu.tr/ mtsezgin