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The CSU Face Identification Evaluation System: Its Purpose ...

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The CSU Face Identification Evaluation System: Its Purpose ...

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    1. The CSU Face Identification Evaluation System, ICVS 2003 Talk The CSU Face Identification Evaluation System: Its Purpose, Features and Structure David S. Bolme, J. Ross Beveridge, Marcio Teixeira and Bruce A. Draper Computer Science, Colorado State University 3rd International Conference on Computer Vision Systems - ICVS 2003

    2. The CSU Face Identification Evaluation System, ICVS 2003 Talk

    3. The CSU Face Identification Evaluation System, ICVS 2003 Talk Obtaining the CSU Face Identification Evaluation System The Evaluation of Face Recognition Algorithms Website. First release of code on March 1, 2001 Current code release, Version 4.0, October 31, 2002 Over 1,500 downloads of Version 4.0 through March 2003 Users Guide is included and also available separately.

    4. The CSU Face Identification Evaluation System, ICVS 2003 Talk CSU Face Identification Evaluation System: Users Guide Installation Testing the system Scripts,scrapshots System Overview Image Formats Distance Files Image Preprocessing Algorithms PCA, PCA+LDA, BIC Analysis Cumulative Match Curves Error bars & distributions

    5. The CSU Face Identification Evaluation System, ICVS 2003 Talk System Overview

    6. The CSU Face Identification Evaluation System, ICVS 2003 Talk Image Preprocessing Integer to float conversion Converts 256 gray levels to single-floats Geometric Normalization Aligns human chosen eye coordinates Masking Crop with elliptical mask leaving only face visible. Histogram Equalization Histogram equalizes unmasked pixels: 256 levels. Pixel normalization Shift and scale pixel values so mean pixel value is zero and standard deviation over all pixels is one.

    7. The CSU Face Identification Evaluation System, ICVS 2003 Talk The csuSubspace module: PCA and PCA+LDA

    8. The CSU Face Identification Evaluation System, ICVS 2003 Talk Bayesian Image difference Classifier: Take Difference of Images

    9. The CSU Face Identification Evaluation System, ICVS 2003 Talk Bayesian Image difference Classifier: Training Uses csuSubspace Module

    10. The CSU Face Identification Evaluation System, ICVS 2003 Talk Bayesian Image difference Classifier: Testing uses csuBayesianProject

    11. The CSU Face Identification Evaluation System, ICVS 2003 Talk Evaluation Methodology and Tools

    12. The CSU Face Identification Evaluation System, ICVS 2003 Talk Training, Probes, Galleries, What Varies?

    13. The CSU Face Identification Evaluation System, ICVS 2003 Talk Producing Cumulative Match Curves

    14. The CSU Face Identification Evaluation System, ICVS 2003 Talk Producing Sample Distributions Compare PCA and PCA+LDA. Distance Measures: L1, L2, Mah. Angle (PCA), Soft L2 (PCA+LDA). Methodology: Monte Carlo Sampling of Probe/Gallery.

    15. The CSU Face Identification Evaluation System, ICVS 2003 Talk PCA vs. PCA+LDA Confidence Intervals

    16. The CSU Face Identification Evaluation System, ICVS 2003 Talk Tabular Output from csuPermute

    17. The CSU Face Identification Evaluation System, ICVS 2003 Talk PCA vs. PCA+LDA Comparing Distance Measures Distance Measure Matters PCA favors Mahalanobis Angle PCA+LDA, Soft and Angle Similar Cumulative Match with Error Bars Distance choice more important than subspace.

    18. The CSU Face Identification Evaluation System, ICVS 2003 Talk Current Research FERET Subject Covariates

    19. The CSU Face Identification Evaluation System, ICVS 2003 Talk FERET Covariates Results (Preliminary!)

    20. The CSU Face Identification Evaluation System, ICVS 2003 Talk Conclusion Release 4.0 Contains Three algorithms: PCA, PCA+LDA, BIC. Cumulative match curve and probe gallery permutation tools. Scripts for common experiments, including standard FERET. Supported platforms include Code is ANSI C: Unix, Windows, … Turn-key scripts and code tested on Linux, Solaris, Darwin. Over 1,500 downloads since October 31, 2002. Related papers on web site. Near Future - Release: 5.0 Elastic Bunch Graph Matching (USC FERET). Data Preparation for Generalized Linear Models. PCA+LDA Configuration and FERET Subject Covariate Study.

    21. The CSU Face Identification Evaluation System, ICVS 2003 Talk The End

    22. The CSU Face Identification Evaluation System, ICVS 2003 Talk Help for csuPreprocesNormalize

    23. The CSU Face Identification Evaluation System, ICVS 2003 Talk Help for SubspaceTrain

    24. The CSU Face Identification Evaluation System, ICVS 2003 Talk Help for csuSubspaceProject

    25. The CSU Face Identification Evaluation System, ICVS 2003 Talk Help for csuMakeDiffs First step in Bayesian Algorithm

    26. The CSU Face Identification Evaluation System, ICVS 2003 Talk Help for csuBayesianProject

    27. The CSU Face Identification Evaluation System, ICVS 2003 Talk Help for csuAnalysis Tools

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