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Empirical Evaluation Techniques in Computer Vision
ISBN: 978-0-8186-8401-2
Paperback
262 pages
July 1998, Wiley-IEEE Computer Society Press
US $55.50 Add to Cart

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  • Description
  • Table of Contents
Overview of Work in Empirical Evaluation of Computer Vision Algorithms (Kevin W. Bowyer and P. Jonathon Phillips).

A Blinded Evaluation and Comparison of Image Registration Methods (J. Michael Fitzpatrick and Jay B. West).

A Benchmark for Graphics Recognition Systems (Atul K. Chhabra and Ihsin T. Phillips).

Performance Evaluation of Clustering Algorithms for Scalable Image Retrieval (mohammed Abdel-Mottaleb, Santhana Krishnamachari, and Nicholas J. Mankovich).

Analysis of PCA-Based Face Recognition Algorithms (Hyeonjoon Moon and P. Jonathan Phillips).

Performance Assessment by Resampling: Rigid Motion Estimators (Bogdan Matei, Peter Meer, and David Tyler).

Sensor Errors and the Uncertainties in Stereo Reconstruction (Gerda Kamberova and Ruzena Bajcsy).

Fingerprint Image Enhancement: Algorithm and Performance Evaluation (Lin Hong, Yifei Wan, and Anil Jain).

Empirical Evaluation of Laser Radar Recognition Algorithms Using Synthetic and Real Data (Sandor Der and Qinfen Zheng).

A WWW-Accessible Database for 3D Vision Research (Patrick J. Flynn and Richard J. Campbell).

Shape of Motion and the Perception of Human Gaits (Jeffrey E. Boyd and James J. Little).

Empirical Evaluation of Automatically Extracted Road Axes (Christain Wiedemann, Christian Heipke, Helmut Mayer, and Olivier Jamet).

Analytical and Empirical Performance Evaluation of Subpixel Line and Edge Detection (Carsten Steger).

Objective Evaluation of Edge Detectors Using a Formally Defined Framework (Sean Dougherty and Kevin W. Bowyer).

An Objective Comparison Methodology of Edge Detection Algorithms Using a Structure from Motion Task (Min C. Shin, Dmitry Goldgof, and Kevin W. Bowyer).

Author Index.