How will image quality results be reported?
Results will be reported using the Image Quality Receiver Operator Characteristic (IQROC) and Linear, Generalized Linear, and Generalized Linear Mixed Model frameworks. Information on IQROC can found in the ICE announcement section on bbs.bee-biometric.org website, in the program manager presentation at the first Iris Challenge Evaluation (ICE) workshop. For information on applying Linear, Generalized Linear, and Generalized Linear Mixed Model to face recognition see the following two papers: How features of the human face affect recognition: a statistical comparison of three face recognition algorithms, G. Givens, J. R, Beveridge, B. A. Draper, P. Grother, and P. J. Phillips, In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Volume 2, 2004 Page(s):II-381 – II-388. Repeated Measures GLMM Estimation of Subject-Related and False Positive Threshold Effects on Human Face Verification Performance, G. H. Givens, J. R. Beveridge, B.
Results will be reported using the Image Quality Receiver Operator Characteristic (IQROC) and Linear, Generalized Linear, and Generalized Linear Mixed Model frameworks. Information on IQROC can be found in the ICE announcement section on bbs.bee-biometric.org website, in the program manager presentation at the first Iris Challenge Evaluation (ICE) workshop. For information on applying Linear, Generalized Linear, and Generalized Linear Mixed Model to face recognition, see the following two papers: How features of the human face affect recognition: a statistical comparison of three face recognition algorithms, G. Givens, J. R, Beveridge, B. A. Draper, P. Grother, and P. J. Phillips, In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Volume 2, 2004 Page(s):II-381 – II-388. Repeated Measures GLMM Estimation of Subject-Related and False Positive Threshold Effects on Human Face Verification Performance, G. H. Givens, J. R. Beveridge
