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Time-of-Flight Cameras

Principles, Methods and Applications

  • Book
  • © 2013

Overview

Authors:
  1. Miles Hansard

    1. Electronic Engineering and Computer Sci., Queen Mary, University of London, London, United Kingdom

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  2. Seungkyu Lee

    1. Samsung Advanced Institute of Technology, Yongin-si, Korea, Republic of (South Korea)

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  3. Ouk Choi

    1. Samsung Advanced Institute of Technology, Yongin-si, Korea, Republic of (South Korea)

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  4. Radu Horaud

    1. INRIA Grenoble Rhône-Alpes, Montbonnot Saint-Martin, France

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  • Describes the physical principles, the overall hardware architecture, and the electronic design of time-of-flight (TOF) sensors, the pre-processing and enhancement of TOF depth data, and the metric calibration of a TOF camera
  • Examines the fusion of range and parallax data, proposing a method for calibrating a mixed TOF and binocular RGB system
  • Explains how multiple TOF and colour cameras can be combined to perform full 3D scene reconstruction
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Characterization of Time-of-Flight Data

    • Miles Hansard, Seungkyu Lee, Ouk Choi, Radu Horaud
    Pages 1-28

  3. Disambiguation of Time-of-Flight Data

    • Miles Hansard, Seungkyu Lee, Ouk Choi, Radu Horaud
    Pages 29-43

  4. Calibration of Time-of-Flight Cameras

    • Miles Hansard, Seungkyu Lee, Ouk Choi, Radu Horaud
    Pages 45-58

  5. Alignment of Time-of-Flight and Stereoscopic Data

    • Miles Hansard, Seungkyu Lee, Ouk Choi, Radu Horaud
    Pages 59-75

  6. A Mixed Time-of-Flight and Stereoscopic Camera System

    • Miles Hansard, Seungkyu Lee, Ouk Choi, Radu Horaud
    Pages 77-96
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Keywords

About this book

Time-of-flight (TOF) cameras provide a depth value at each pixel, from which the 3D structure of the scene can be estimated. This new type of active sensor makes it possible to go beyond traditional 2D image processing, directly to depth-based and 3D scene processing. Many computer vision and graphics applications can benefit from TOF data, including 3D reconstruction, activity and gesture recognition, motion capture and face detection. It is already possible to use multiple TOF cameras, in order to increase the scene coverage, and to combine the depth data with images from several colour cameras. Mixed TOF and colour systems can be used for computational photography, including full 3D scene modelling, as well as for illumination and depth-of-field manipulations. This work is a technical introduction to TOF sensors, from architectural and design issues, to selected image processing and computer vision methods.

Authors and Affiliations

  • Electronic Engineering and Computer Sci., Queen Mary, University of London, London, United Kingdom

    Miles Hansard

  • Samsung Advanced Institute of Technology, Yongin-si, Korea, Republic of (South Korea)

    Seungkyu Lee, Ouk Choi

  • INRIA Grenoble Rhône-Alpes, Montbonnot Saint-Martin, France

    Radu Horaud

Bibliographic Information

  • Book Title: Time-of-Flight Cameras

  • Book Subtitle: Principles, Methods and Applications

  • Authors: Miles Hansard, Seungkyu Lee, Ouk Choi, Radu Horaud

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-1-4471-4658-2

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Miles Hansard 2013

  • Softcover ISBN: 978-1-4471-4657-5Published: 07 November 2012

  • eBook ISBN: 978-1-4471-4658-2Published: 06 November 2012

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: X, 96

  • Number of Illustrations: 36 b/w illustrations, 19 illustrations in colour

  • Topics: Image Processing and Computer Vision

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