Skip to main content
SpringerLink
Log in

Performance Characterization in Computer Vision

  • Book
  • © 2000

Overview

Editors:
  1. Reinhard Klette

    1. Department of Computer Science, Tamaki Campus, The University of Auckland, Auckland, New Zealand

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. H. Siegfried Stiehl

    1. Cognitive Systems Research Group, Department of Computer Science, University of Hamburg, Hamburg, Germany
      FB Informatik AB Kognitive Systeme, Universität Hamburg, Hamburg, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Max A. Viergever

    1. Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Koen L. Vincken

    1. Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Computational Imaging and Vision (CIVI, volume 17)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (24 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. General Issues

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Experiences with Empirical Evaluation of Computer Vision Algorithms

      • Kevin W. Bowyer
      Pages 3-16

    3. Evaluation and Validation of Computer Vision Algorithms

      • Patrick Courtney
      Pages 17-28

    4. Databases for Performance Characterization

      • Adrian F. Clark, Patrick Courtney
      Pages 29-40

    5. Quality in Computer Vision

      • Radek Mařík
      Pages 41-51

  4. Statistical Aspects

    1. Front Matter

      Pages 93-93
      Download chapter PDF

    2. Propagating Covariance in Computer Vision

      • Robert M. Haralick
      Pages 95-114

    3. Input Guided Performance Evaluation

      • Peter Meer, Bogdan Matei, Kyujin Cho
      Pages 115-124

    4. Uncertainty Propagation in Shape Reconstruction and Moving Object Detection from Optical Flow

      • Naoya Ohta
      Pages 125-135

  5. Comparative Studies

    1. Front Matter

      Pages 137-137
      Download chapter PDF

    2. Performance Characteristics of Low-Level Motion Estimators in Spatiotemporal Images

      • Bernd Jähne, Horst Haussecker
      Pages 139-152

    3. Evaluation of Numerical Solution Schemes for Differential Equations

      • Ryszard Kozera, Reinhard Klette
      Pages 153-166

    4. Experimental Comparative Evaluation of Feature Point Tracking Algorithms

      • Judit Verestóy, Dmitry Chetverikov
      Pages 167-178

  6. Selected Methods and Algorithms

    1. Front Matter

      Pages 179-179
      Download chapter PDF
Back to top

Keywords

About this book

This edited volume addresses a subject which has been discussed inten­ sively in the computer vision community for several years. Performance characterization and evaluation of computer vision algorithms are of key importance, particularly with respect to the configuration of reliable and ro­ bust computer vision systems as well as the dissemination of reconfigurable systems in novel application domains. Although a plethora of literature on this subject is available for certain' areas of computer vision, the re­ search community still faces a lack of a well-grounded, generally accepted, and--eventually-standardized methods. The range of fundamental problems encoIl!passes the value of synthetic images in experimental computer vision, the selection of a representative set of real images related to specific domains and tasks, the definition of ground truth given different tasks and applications, the design of experimental test­ beds, the analysis of algorithms with respect to general characteristics such as complexity, resource consumption, convergence, stability, or range of admissible input data, the definition and analysis of performance measures for classes of algorithms, the role of statistics-based performance measures, the generation of data sheets with performance measures of algorithms sup­ porting the system engineer in his configuration problem, and the validity of model assumptions for specific applications of computer vision.

Editors and Affiliations

  • Department of Computer Science, Tamaki Campus, The University of Auckland, Auckland, New Zealand

    Reinhard Klette

  • Cognitive Systems Research Group, Department of Computer Science, University of Hamburg, Hamburg, Germany

    H. Siegfried Stiehl

  • FB Informatik AB Kognitive Systeme, Universität Hamburg, Hamburg, Germany

    H. Siegfried Stiehl

  • Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands

    Max A. Viergever, Koen L. Vincken

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation