Data Segmentation and Model Selection for Computer Vision

A Statistical Approach

Editors: Bab-Hadiashar, Alireza, Suter, David (Eds.)

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  • ISBN 978-0-387-21528-0
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About this book

The primary focus of this book is on techniques for segmentation of visual data. By "visual data," we mean data derived from a single image or from a sequence of images. By "segmentation" we mean breaking the visual data into meaningful parts or segments. However, in general, we do not mean "any old data": but data fundamental to the operation of robotic devices such as the range to and motion of objects in a scene. Having said that, much of what is covered in this book is far more general: The above merely describes our driving interests. The central emphasis of this book is that segmentation involves model­ fitting. We believe this to be true either implicitly (as a conscious or sub­ conscious guiding principle of those who develop various approaches) or explicitly. What makes model-fitting in computer vision especially hard? There are a number of factors involved in answering this question. The amount of data involved is very large. The number of segments and types (models) are not known in advance (and can sometimes rapidly change over time). The sensors we have involve the introduction of noise. Usually, we require fast ("real-time" or near real-time) computation of solutions independent of any human intervention/supervision. Chapter 1 summarizes many of the attempts of computer vision researchers to solve the problem of segmenta­ tion in these difficult circumstances.

Table of contents (6 chapters)

  • 2D and 3D Scene Segmentation for Robotic Vision

    Jarvis, R. A.

    Pages 3-27

  • Robust Regression Methods and Model Selection

    Ronchetti, E.

    Pages 31-40

  • Robust Measures of Evidence for Variable Selection

    Sommer, S. (et al.)

    Pages 41-89

  • Model Selection Criteria for Geometric Inference

    Kanatani, K.

    Pages 91-115

  • Range and Motion Segmentation

    Bab-Hadiashar, A. (et al.)

    Pages 119-142

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-0-387-21528-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-0-387-98815-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-1-4684-9508-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Segmentation and Model Selection for Computer Vision
Book Subtitle
A Statistical Approach
Editors
  • Alireza Bab-Hadiashar
  • David Suter
Copyright
2000
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-0-387-21528-0
DOI
10.1007/978-0-387-21528-0
Hardcover ISBN
978-0-387-98815-3
Softcover ISBN
978-1-4684-9508-9
Edition Number
1
Number of Pages
XX, 208
Topics