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Pattern Analysis and Applications

Erschienen in:

11.08.2017 | Short Paper

Facial beauty analysis based on features prediction and beautification models

verfasst von: Bob Zhang, Xihua Xiao, Guangming Lu

Erschienen in: Pattern Analysis and Applications | Ausgabe 2/2018

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Abstract

This paper studies facial beauty analysis by using feature-based computer models in prediction and beautification. In order to assess the facial beauty index, a facial beauty prediction model is established, which can quickly and effectively estimate beauty indexes for new images. In the facial beautification model, we mainly achieve three functions: (1) propose an effective method to adjust the positions of the landmark points to beautify the facial geometry; (2) improve the multi-level median filtering method to perform facial skin beautification; and (3) design a method to achieve average facial beautification. Experimental results showed that the proposed models can significantly analyze the facial attractiveness of face images.

Vorheriger Artikel A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure-free electroencephalography signals

Nächster Artikel Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria

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Titel: Facial beauty analysis based on features prediction and beautification models
verfasst von: Bob Zhang
Xihua Xiao
Guangming Lu
Publikationsdatum: 11.08.2017
Verlag: Springer London
Erschienen in: Pattern Analysis and Applications / Ausgabe 2/2018
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI: https://doi.org/10.1007/s10044-017-0647-2

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