Parallel optimized pearson correlation condition (PO-PCC) for robust cosmetic makeup facial recognition
المؤلفون المشاركون
Rujirakul, Kanokmon
So-In, Chakchai
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 16، العدد 3 (31 مايو/أيار 2019)11ص.
الناشر
تاريخ النشر
2019-05-31
دولة النشر
الأردن
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Makeup changes or the application of cosmetics constitute one of the challenges for the improvement of the recognition precision of human faces because makeup has a direct impact on facial features, such as shape, tone, and texture.
Thus, this research investigates the possibility of integrating a statistical model using Pearson Correlation (PC) to enhance the facial recognition accuracy.
PC is generally used to determine the relationship between the training and testing images while leveraging the key advantage of fast computing.
Considering the relationship of factors other than the features, i.e., changes in shape, size, color, or appearance, leads to a robustness of the cosmetic images.
To further improve the accuracy and reduce the complexity of the approach, a technique using channel selection and the Optimum Index Factor (OIF), including Histogram Equalization (HE), is also considered.
In addition, to enable real-time (online) applications, this research applies parallelism to reduce the computational time in the pre-processing and feature extraction stages, especially for parallel matrix manipulation, without affecting the recognition rate.
The performance improvement is confirmed by extensive evaluations using three cosmetic datasets compared to classic facial recognitions, namely, principal component analysis and local binary pattern (by factors of 6.98 and 1.4, respectively), including their parallel enhancements (i.e., by factors of 31,194.02 and 1577.88, respectively) while maintaining high recognition precision.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rujirakul, Kanokmon& So-In, Chakchai. 2019. Parallel optimized pearson correlation condition (PO-PCC) for robust cosmetic makeup facial recognition. The International Arab Journal of Information Technology،Vol. 16, no. 3.
https://search.emarefa.net/detail/BIM-854896
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rujirakul, Kanokmon& So-In, Chakchai. Parallel optimized pearson correlation condition (PO-PCC) for robust cosmetic makeup facial recognition. The International Arab Journal of Information Technology Vol. 16, no. 3 (May. 2019).
https://search.emarefa.net/detail/BIM-854896
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rujirakul, Kanokmon& So-In, Chakchai. Parallel optimized pearson correlation condition (PO-PCC) for robust cosmetic makeup facial recognition. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 3.
https://search.emarefa.net/detail/BIM-854896
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-854896
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر