3D Facial Similarity Measure Based on Geodesic Network and Curvatures
المؤلفون المشاركون
Duan, Fu-qing
Zhao, Junli
Wang, Kang
Zhang, Minqi
Jia, Taorui
Wu, Zhongke
Liu, Cuiting
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-11-03
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Automated 3D facial similarity measure is a challenging and valuable research topic in anthropology and computer graphics.
It is widely used in various fields, such as criminal investigation, kinship confirmation, and face recognition.
This paper proposes a 3D facial similarity measure method based on a combination of geodesic and curvature features.
Firstly, a geodesic network is generated for each face with geodesics and iso-geodesics determined and these network points are adopted as the correspondence across face models.
Then, four metrics associated with curvatures, that is, the mean curvature, Gaussian curvature, shape index, and curvedness, are computed for each network point by using a weighted average of its neighborhood points.
Finally, correlation coefficients according to these metrics are computed, respectively, as the similarity measures between two 3D face models.
Experiments of different persons’ 3D facial models and different 3D facial models of the same person are implemented and compared with a subjective face similarity study.
The results show that the geodesic network plays an important role in 3D facial similarity measure.
The similarity measure defined by shape index is consistent with human’s subjective evaluation basically, and it can measure the 3D face similarity more objectively than the other indices.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Junli& Liu, Cuiting& Wu, Zhongke& Duan, Fu-qing& Zhang, Minqi& Wang, Kang…[et al.]. 2014. 3D Facial Similarity Measure Based on Geodesic Network and Curvatures. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1046496
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Junli…[et al.]. 3D Facial Similarity Measure Based on Geodesic Network and Curvatures. Mathematical Problems in Engineering No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-1046496
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Junli& Liu, Cuiting& Wu, Zhongke& Duan, Fu-qing& Zhang, Minqi& Wang, Kang…[et al.]. 3D Facial Similarity Measure Based on Geodesic Network and Curvatures. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1046496
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1046496
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