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PAMI
2011

Meta-Recognition: The Theory and Practice of Recognition Score Analysis

8 years 10 months ago
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score analysis form through the use of the statistical extreme value theory (EVT). The ability to predict the performance of a recognition system based on its outputs for each match instance is desirable for a number of important reasons, including automatic threshold selection for determining matches and non-matches, and automatic algorithm selection or weighting for multi-algorithm fusion. The emerging body of literature on post-recognition score analysis has been largely constrained to biometrics, where the analysis has been shown to successfully complement or replace image quality metrics as a predictor. We develop a new statistical predictor based upon the Weibull distribution, which produces accurate results on a per instance recognition basis across different recognition problems. Experimental results are pr...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where PAMI
Authors Walter J. Scheirer, Anderson Rocha, Ross J. Micheals, Terrance E. Boult
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