2013 International Conference on Biometrics (ICB) 2013
DOI: 10.1109/icb.2013.6612994
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Automatic facial makeup detection with application in face recognition

Abstract: Facial makeup has the ability to alter the appearance of a person. Such

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Cited by 124 publications
(129 citation statements)
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“…However, the classification between makeup and non-makeup faces is not provided also in [16]. Taking motivation from the work in [16], Chen et al [3] explored the system which was using shape, texture and color features and also providing binary classification of non-makeup and makeup faces. Though work in [3] is somewhat similar to our approach, there are significant differences.…”
Section: Fig -2mentioning
confidence: 99%
See 3 more Smart Citations
“…However, the classification between makeup and non-makeup faces is not provided also in [16]. Taking motivation from the work in [16], Chen et al [3] explored the system which was using shape, texture and color features and also providing binary classification of non-makeup and makeup faces. Though work in [3] is somewhat similar to our approach, there are significant differences.…”
Section: Fig -2mentioning
confidence: 99%
“…Taking motivation from the work in [16], Chen et al [3] explored the system which was using shape, texture and color features and also providing binary classification of non-makeup and makeup faces. Though work in [3] is somewhat similar to our approach, there are significant differences. The system in [3] was using only three patches whereas we use 12 local facial patches and consider more makeup cues.…”
Section: Fig -2mentioning
confidence: 99%
See 2 more Smart Citations
“…This dataset was created to provide a collection of videos and labels for subject identification from videos and benchmarking video pair-matching techniques. c. YouTube Makeup Dataset (YMD) [27] contains images from 151 subjects (Caucasian females) from YouTube makeup tutorials before and after subtle to heavy makeup is applied. 4 shots are taken for each subject (2 shots before and 2 shots after makeup is applied).…”
Section: Facial Recognition Databasesmentioning
confidence: 99%