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Stereo Scene Flow for 3D Motion Analysis

  • Book
  • © 2011

Overview

Authors:
  1. Andreas Wedel

    1. Group Research, Daimler AG, Sindelfingen, Germany

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  2. Daniel Cremers

    1. Department of Computer Science, Technical University of Munich, Garching, Germany

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  • Describes the computation of precise and accurate optical flow, and scene flow, in real-time applications

  • Reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms

  • Includes pseudo code for all important computational challenges, and contains a Glossary

  • Includes supplementary material: sn.pub/extras

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Table of contents (9 chapters)

  1. Front Matter

    Pages I-IX
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  2. Machine Vision Systems

    • Andreas Wedel, Daniel Cremers
    Pages 1-3

  3. Optical Flow Estimation

    • Andreas Wedel, Daniel Cremers
    Pages 5-34

  4. Residual Images and Optical Flow Results

    • Andreas Wedel, Daniel Cremers
    Pages 35-49

  5. Scene Flow

    • Andreas Wedel, Daniel Cremers
    Pages 51-64

  6. Motion Metrics for Scene Flow

    • Andreas Wedel, Daniel Cremers
    Pages 65-79

  7. Extensions of Scene Flow

    • Andreas Wedel, Daniel Cremers
    Pages 81-98

  8. Conclusion and Outlook

    • Andreas Wedel, Daniel Cremers
    Pages 99-100

  9. Appendix: Data Terms and Quadratic Optimization

    • Andreas Wedel, Daniel Cremers
    Pages 101-109

  10. Appendix: Scene Flow Implementation Using Euler–Lagrange Equations

    • Andreas Wedel, Daniel Cremers
    Pages 111-117

  11. Back Matter

    Pages 119-128
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Keywords

About this book

This book presents methods for estimating optical flow and scene flow motion with high accuracy, focusing on the practical application of these methods in camera-based driver assistance systems. Clearly and logically structured, the book builds from basic themes to more advanced concepts, culminating in the development of a novel, accurate and robust optic flow method. Features: reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms; investigates the use of residual images for optical flow; examines methods for deriving motion from stereo image sequences; analyses the error characteristics for motion variables, and derives scene flow metrics for movement likelihood and velocity; introduces a framework for scene flow-based moving object detection and segmentation; includes Appendices on data terms and quadratic optimization, and scene flow implementation using Euler-Lagrange equations, in addition to a helpful Glossary.

Authors and Affiliations

  • Group Research, Daimler AG, Sindelfingen, Germany

    Andreas Wedel

  • Department of Computer Science, Technical University of Munich, Garching, Germany

    Daniel Cremers

Bibliographic Information

  • Book Title: Stereo Scene Flow for 3D Motion Analysis

  • Authors: Andreas Wedel, Daniel Cremers

  • DOI: https://doi.org/10.1007/978-0-85729-965-9

  • Publisher: Springer London

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

  • Copyright Information: Springer-Verlag London Limited 2011

  • Hardcover ISBN: 978-0-85729-964-2Published: 17 August 2011

  • Softcover ISBN: 978-1-4471-6914-7Published: 23 August 2016

  • eBook ISBN: 978-0-85729-965-9Published: 17 August 2011

  • Edition Number: 1

  • Number of Pages: IX, 128

  • Number of Illustrations: 14 b/w illustrations, 60 illustrations in colour

  • Topics: Image Processing and Computer Vision, Pattern Recognition

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