Evolutionary Computation for Modelling Social Traits in Realistic Looking Synthetic Faces
المؤلفون المشاركون
Diego-Mas, Jose-Antonio
Fuentes-Hurtado, Felix
Naranjo, Valery
Alcañiz, Mariano
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-10-23
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Human faces play a central role in our lives.
Thanks to our behavioural capacity to perceive faces, how a face looks in a painting, a movie, or an advertisement can dramatically influence what we feel about them and what emotions are elicited.
Facial information is processed by our brain in such a way that we immediately make judgements like attractiveness or masculinity or interpret personality traits or moods of other people.
Due to the importance of appearance-driven judgements of faces, this has become a major focus not only for psychological research, but for neuroscientists, artists, engineers, and software developers.
New technologies are now able to create realistic looking synthetic faces that are used in arts, online activities, advertisement, or movies.
However, there is not a method to generate virtual faces that convey the desired sensations to the observers.
In this work, we present a genetic algorithm based procedure to create realistic faces combining facial features in the adequate relative positions.
A model of how observers will perceive a face based on its features’ appearances and relative positions was developed and used as the fitness function of the algorithm.
The model is able to predict 15 facial social traits related to aesthetic, moods, and personality.
The proposed procedure was validated comparing its results with the opinion of human observers.
This procedure is useful not only for creating characters with artistic purposes, but also for online activities, advertising, surgery, or criminology.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Fuentes-Hurtado, Felix& Diego-Mas, Jose-Antonio& Naranjo, Valery& Alcañiz, Mariano. 2018. Evolutionary Computation for Modelling Social Traits in Realistic Looking Synthetic Faces. Complexity،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1136657
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Fuentes-Hurtado, Felix…[et al.]. Evolutionary Computation for Modelling Social Traits in Realistic Looking Synthetic Faces. Complexity No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1136657
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Fuentes-Hurtado, Felix& Diego-Mas, Jose-Antonio& Naranjo, Valery& Alcañiz, Mariano. Evolutionary Computation for Modelling Social Traits in Realistic Looking Synthetic Faces. Complexity. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1136657
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1136657
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