Knowledge-Dependent Pattern Classification of Human Nasal Profiles | Zendy

Chihiro Tanikawa | Zendy; Yasuhiro Kakiuchi | Zendy; Masakazu Yagi | Zendy; Kayoko Miyata | Zendy; Kenji Takada | Zendy

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Knowledge-Dependent Pattern Classification of Human Nasal Profiles

Author(s) -

Chihiro Tanikawa,

Yasuhiro Kakiuchi,

Masakazu Yagi,

Kayoko Miyata,

Kenji Takada

Publication year - 2007

Publication title -

the angle orthodontist

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.116

H-Index - 86

eISSN - 1945-7103

pISSN - 0003-3219

DOI - 10.2319/061806-247.1

Subject(s) - feature vector , pattern recognition (psychology) , vector quantization , nasal dorsum , artificial intelligence , feature (linguistics) , dorsum , nose , set (abstract data type) , computer science , face (sociological concept) , code (set theory) , mathematics , anatomy , biology , rhinoplasty , social science , linguistics , philosophy , sociology , programming language

(1) To determine feature vector representations (geometric pattern parameters) that are effective in describing human nasal profiles, (2) to determine the number of code vectors (typical nasal patterns) that are mathematically optimized by applying the vector quantization method to each feature vector extracted for each subject, and (3) to determine the morphological traits of each code.

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