Sketch-based Interfaces and Modeling

  • Joaquim Jorge
  • Faramarz Samavati

Table of contents

  1. Front Matter
    Pages I-XII
  2. Sketch-based Interfaces

    1. Front Matter
      Pages 17-17
    2. Faramarz F. Samavati, Luke Olsen, Joaquim A. Jorge
      Pages 1-15
  3. Sketch-based Interfaces

    1. Front Matter
      Pages 17-17
    2. Thomas F. Stahovich
      Pages 119-152
    3. Michiel van de Panne, Dana Sharon
      Pages 153-179
    4. Manuel J. Fonseca, Alfredo Ferreira, Joaquim A. Jorge
      Pages 181-201
  4. Sketch-based Modeling

    1. Front Matter
      Pages 203-203
    2. Takeo Igarashi
      Pages 205-223
    3. Aaron Severn, Faramarz F. Samavati, Joseph J. Cherlin, Mario Costa Sousa, Joaquim A. Jorge
      Pages 255-286
    4. Ryan Schmidt, Brian Wyvill
      Pages 287-312
    5. Olga Karpenko, John F. Hughes
      Pages 313-340
    6. Levent Burak Kara, Kenji Shimada
      Pages 341-367
    7. Jamie Wither, Marie-Paule Cani
      Pages 369-395
  5. Back Matter
    Pages 397-402

About this book

Introduction

The field of sketch-based interfaces and modeling (SBIM) focuses on developing methods and techniques to enable users to interact with a computer through sketching - a simple, yet highly expressive medium. SBIM blends concepts from computer graphics, human-computer interaction, artificial intelligence, and machine learning. Recent improvements in hardware, coupled with new machine learning techniques for more accurate recognition, and more robust depth inferencing techniques for sketch-based modeling, have resulted in an explosion of both sketch-based interfaces and pen-based computing devices.

Presenting the first coherent, unified overview of SBIM, this unique text/reference bridges the two complementary research areas of user interaction (sketch-based interfaces), and graphical modeling and construction (sketch-based modeling). The book discusses the state of the art of this rapidly evolving field, with contributions from an international selection of experts. Also covered are sketch-based systems that allow the user to manipulate and edit existing data - from text, images, 3D shapes, and video - as opposed to modeling from scratch.

Topics and features:

  • Reviews pen/stylus interfaces to graphical applications that avoid reliance on user interface modes
  • Describes systems for diagrammatic sketch recognition, mathematical sketching, and sketch-based retrieval of vector drawings
  • Examines pen-based user interfaces for engineering and educational applications
  • Presents a set of techniques for sketch recognition that rely strictly on spatial information
  • Introduces the Teddy system; a pioneering sketching interface for designing free-form 3D models
  • Investigates a range of advanced sketch-based systems for modeling and designing 3D objects, including complex contours, clothing, and hair-styles
  • Explores methods for modeling from just a single sketch or using only a few strokes

This text is an essential resource for researchers, practitioners and graduate students involved in human-factors and user interfaces, interactive computer graphics, and intelligent user interfaces and AI.

Dr. Joaquim Jorge is a professor at the Computer Science and Engineering Department (DEI) of the School of Engineering (IST) at the Technical University of Lisbon, Portugal.

Dr. Faramarz Samavati is an associate professor at the Department of Computer Science at the University of Calgary, Canada.

Keywords

Artificial Intelligence Computer Graphics Human-Computer Interaction Machine Learning Sketch-based Interfaces Sketch-based Modeling

Editors and affiliations

  • Joaquim Jorge
    • 1
  • Faramarz Samavati
    • 2
  1. 1.Instituto Superior Técnico, Depto. Engenharia InformáticaUniversidade Técnica de LisboaLisboaPortugal
  2. 2.Dept. Computer ScienceUniversity of CalgaryCalgaryCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84882-812-4
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84882-811-7
  • Online ISBN 978-1-84882-812-4
  • About this book