Destek Vektör Makinesi Yöontemi İle Yüz Güzelliği Karari

Abstract

This paper presents an automated facial beauty recognition system based on Support Vector Machine (SVM). First, we constructed manually two classes of female faces with respect to their facial beauty, by requesting personal opinions of people. As the second step, Principal Components Analysis (PCA) is applied to each class for extracting principal components. Then Support Vector Machine (SVM) is used for judging whether a given face is beautiful or not. Judging the beauty of a face is a relative concept so the decision results of our system are compared with the results obtained by asking 50 different people to determine the success of our system. We figured out that the results of our system agreed 85 with the decisions of the people.

Keywords

Beauty Support vector machine Face (sociological concept) Artificial intelligence Principal component analysis Facial recognition system Principal (computer security) Pattern recognition (psychology) Computer science Class (philosophy) Computer vision Aesthetics Art Philosophy Linguistics

Subject Areas

Face and Expression Recognition ·Computer Vision and Pattern Recognition ·Physical Sciences

Citations by Year

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Gender equality 57%

Destek Vektör Makinesi Yöontemi İle Yüz Güzelliği Karari

Abstract

Keywords

Subject Areas

Citations by Year

OpenAlex SDG Match

References (5)

Cited by (1)

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