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Real-Time Vision for Human-Computer Interaction

  • Branislav Kisačanin
  • Vladimir Pavlović
  • Thomas S. Huang

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Introduction

    1. Matthew Turk
      Pages 3-13
    2. Branislav Kisačanin, Vladimir Pavlović
      Pages 15-40
  3. Advances in RTV4HCI

    1. Rogerio Feris, Matthew Turk, Ramesh Raskar, Kar-Han Tan, Gosuke Ohashi
      Pages 43-56
    2. Mathias Kölsch, Matthew Turk
      Pages 67-83
    3. Hanning Zhou, Dennis J. Lin, Thomas S. Huang
      Pages 85-101
    4. Guangqi Ye, Jason J. Corso, Gregory D. Hager
      Pages 103-120
    5. John J. Magee, Margrit Betke, Matthew R. Scott, Benjamin N. Waber
      Pages 141-157
    6. Artur M. Arsenio
      Pages 159-180
    7. Amit Kale, Kenneth Kwan, Christopher Jaynes
      Pages 201-214
  4. Looking Ahead

    1. Eric Petajan
      Pages 217-228
    2. Jiwon Kim, Steven M. Seitz, Maneesh Agrawala
      Pages 229-248
    3. Matthew Turk
      Pages 269-283
    4. Bruce Flinchbaugh
      Pages 285-297
  5. Back Matter
    Pages 299-301

About this book

Introduction

As computers become prevalent in all aspects of daily life, the need for natural and effective Human-Computer Interaction (HCI) becomes increasingly important. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, as well as novel and convincing applications.

This state-of-the-art contributed volume presents a series of peer-reviewed survey articles written by international leading experts in computer vision, pattern recognition and Human-Computer Interaction. It is the first published text capturing the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in numerous industries, including computer games and medical and automotive systems. It is also an excellent starting point for further research in these areas.

Contributions to this volume address specific topics such as:

Real-Time Algorithms: from Signal Processing to Computer Vision

Recognition of Isolated Fingerspelling Gestures Using Depth Edges

Appearance-Based Real-Time Understanding of Gestures Using Projected Euler Angles

Flocks of Features for Tracking Articulated Objects

Static Hand Posture Recognition Based on Okapi-Chamfer Matching

Visual Modeling of Dynamic Gestures Using 3D Appearance and Motion Features

Head and Facial Animation Tracking Using Appearance-Adaptive Models and Particle Filters

A Real-Time Vision Interface Based on Gaze Detection – Eyekeys

Map Building From Human-Computer Interactions

Real-Time Inference of Complex Mental States from Facial Expressions and Head Gestures

Epipolar Constrained User Pushbutton Selection in Projected Interfaces

Vision-Based HCI Applications

The Office of the Past

MPEG-4 Face and Body Animation Coding Applied to HCI

Multimodal Human-Computer Interaction

Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision.

Keywords

Interaction Interface algorithms animation cognition computer vision head and face modeling human-computer interaction (HCI) map building modeling pattern recognition pervasive computing real-time detection

Editors and affiliations

  • Branislav Kisačanin
    • 1
  • Vladimir Pavlović
    • 2
  • Thomas S. Huang
    • 3
  1. 1.Delphi CorporationUSA
  2. 2.Rutgers UniversityUSA
  3. 3.University of Illinois at Urbana-ChampaignUSA

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-27890-7
  • Copyright Information Springer Science+Business Media, Inc. 2005
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-27697-7
  • Online ISBN 978-0-387-27890-2
  • Buy this book on publisher's site