Browsing SBM15: Sketch Based Interfaces and Modeling 2015 by Title

Now showing items 1-6 of 6

    • Adding Dynamics to Sketch-based Character Animations 

      Guay, Martin; Ronfard, Rémi; Gleicher, Michael; Cani, Marie-Paule (The Eurographics Association, 2015)
      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 ...

    • A Combined Junction-Cue Dictionary for Labelling Sketch Drawings with Artistic Shadows and Table-line Cues 

      Bonnici, Alexandra; Camilleri, Kenneth P. (The Eurographics Association, 2015)
      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 ...

    • Inverse Toon Shading: Interactive Normal Field Modeling with Isophotes 

      Xu, Qiuying; Gingold, Yotam; Singh, Karan (The Eurographics Association, 2015)
      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 ...

    • Real-Time Activity Prediction: A Gaze-Based Approach for Early Recognition of Pen-Based Interaction Tasks 

      Çıg, Çagla; Sezgin, Tevfik Metin (The Eurographics Association, 2015)
      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. ...

    • ShipShape: A Drawing Beautification Assistant 

      Fišer, Jakub; Asente, Paul; Sýkora, Daniel (The Eurographics Association, 2015)
      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 ...

    • SVM-based Sketch Recognition: Which Hyperparameter Interval to Try? 

      Yesilbek, Kemal Tugrul; Sen, Cansu; Cakmak, Serike; Sezgin, T. Metin (The Eurographics Association, 2015)
      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 ...