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Contributed papers will be reviewed based on content relevant to the theme of the workshop, with an emphasis on sound empirical methods and results. Relevant topics include, but are not limited to:
| 8:50 | Welcome H. Christensen and P. J. Phillips | |
| 9:00 | Invited talk - "Vision of Performance Characterisation for Computer Vision" K. Bowyer |
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| 10:00 | "A Comparative Analysis of Cross-Correlation Matching Algorithms using a Pyramidal Resolution Approach" N. Roma, J Santos-Victor, and J. Tome |
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| 10:30 | Coffee break | |
| 11:00 | "Design of Training/Test Data Sets for Empirical Performance Evaluation" X. Jiang, C. Irniger, and H. Bunke | |
| 11:30 | "Analyzing the Performance of Bayesian Networks for Automatic Determination of Main Subjects in Photographic Images" A. Singhal, S. Etz, and J. Lou |
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| 12:00 | Lunch | |
| 13:30 | "Task-Based Evaluation of Image Diffusion Filtering Algorithms" I. Bajla, I. Hollander, and V. Witkovsky |
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| 14:00 | "Analysis of PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures" W. Yambor, B. Draper, and J. R. Beveridge |
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| 14:30 | Invited talk - W. Foerstner - TBA | |
| 15:30 | Coffee break | |
| 16:00 | "Duality of Identification and Verification in Empirical Evaluation" P. J. Phillips |
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| 16:30 | Panel Discussion - Promotion of Empirical Evaluation | |
| 17:30 | End of workshop |
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Please address comments to
craig.watson@nist.gov
Click here for call for papers.
Click here for European Computer Vision Net Benchmarking web page.
Click here for Workshop on Performance Characterisation and Benchmarking of Vision Systems web page.
Click here for link to Workshop on Evaluation and Validation of CV Algorithms
U of Toronto's "Delve" - "Data for Evaluating Learning in Valid Experiments"