Transcript An Introduction to Pattern Recognition (Part One)
Pattern Recognition
Ku-Yaw Chang
Assistant Professor, Department of Computer Science and Information Engineering Da-Yeh University
Outline
Introduction Features and Classes Supervised v.s. Unsupervised Statistical v.s. Structural (Syntactic) Statistical Decision Theory 2004/03/01 Pattern Recognition 2
Introduction
Pattern Recognition (PR) Automatic detection or classification of objects or events Given a collection of objects belonging to a predefined set of classes and a set of measurements on these objects, identify the class of membership of each of these objects by a suitable analysis of the measurements.
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Introduction
Applications of PR Medicine Weather forecasting Automated industrial inspection Geology Agriculture … 2004/03/01 Pattern Recognition 4
Introduction
A little girl three years of age is sitting on her mother’s lap; they are reading a picture book together.
“What is that?” asks the little girl, pointing to the big letter “O” with which the page starts, as is so often found in children’s picture books.
“That is an ‘O’.” 2004/03/01 Pattern Recognition 5
Introduction
They turn the page.
“O,” says the little girl, pointing to the sun in a picture.
“No, that is the sun.” And from that moment on the little girl knows and distinguishes “O”s and suns.
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Introduction
Discussion How does the little girl do that?
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Features and Classes
Features Measurements or properties used to classify the objects Classes Types or categories into which the objects are classified 2004/03/01 Pattern Recognition 8
Features and Classes
Features Perimeter the length of a region’s boundary Compactness (perimeter) 2 /area Classes Circle : 12.56 (4 Pi) Square : 16 2004/03/01 Pattern Recognition 9
Features and Classes
Discussion Give examples in our daily life?
Features Classes 2004/03/01 Pattern Recognition 10
Features and Classes
Discussion Challenges to finding and defining Features Classes 2004/03/01 Pattern Recognition 11