Open AccessA Generic System For Classifying Variable Objects Using Flexible Template Matching
Author(s) -
Andreas Lanitis,
Chris Taylor,
T.F. Cootes
Publication year - 1993
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.7.33
Subject(s) - computer science , variable (mathematics) , matching (statistics) , artificial intelligence , computer vision , pattern recognition (psychology) , mathematics , statistics , mathematical analysis
A technique for classifying variable objects using flexible template models is described. : is recognised as the input, plant seeds, handprinted characters and human faces; quantitative results are presented.
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