1 March 1998 General methodology for simultaneous representation and discrimination of multiple object classes
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Optical Engineering, 37(3), (1998). doi:10.1117/1.601925
Abstract
We address a new general method for linear and nonlinear feature extraction for simultaneous representation and classification. We call this approach the maximum representation and discrimination feature (MRDF) method. We develop a novel nonlinear eigenfeature (NLEF) extraction technique to represent data with closed-form solutions and use it to derive a nonlinear MRDF algorithm. Results of the MRDF method on synthetic databases are shown and compared with results from standard Fukunaga-Koontz transform and Fisher discriminant function methods. The method is also applied to an automated product inspection problem (discrimination) and for classification and pose estimation of two similar objects under 3-D aspect angle variations (representation and discrimination).
Ashit Talukder, David P. Casasent, "General methodology for simultaneous representation and discrimination of multiple object classes," Optical Engineering 37(3), (1 March 1998). http://dx.doi.org/10.1117/1.601925
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KEYWORDS
Principal component analysis

Error analysis

Feature extraction

Inspection

Optical engineering

Databases

Algorithm development

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