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Measuring Community Consensus In Facial Characterization Using Spatial Databases And Fuzzy Logic, James Lee Mastros
Measuring Community Consensus In Facial Characterization Using Spatial Databases And Fuzzy Logic, James Lee Mastros
Theses and Dissertations
Spatial databases store geometric objects and capture spatial relationships that can be used to represent key features of the human face. One can search spatial databases for these objects, and seek the relationships between them, using fuzzy logic to provide a natural way to describe the human face for the purposes of facial characterization. This study focuses on community perception of short, average, or long nose length. Three algorithms were used to update community opinion of nose length. All three methods showed similar trends in nose length classification which could indicate that the effort to extract spatial data from images …