کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6937427 | 1449735 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Kinship verification using multiview hybrid distance learning
ترجمه فارسی عنوان
تأیید اعتقاد با استفاده از آموزش چندرسانه ای هیبریدی از راه دور
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
The estimation of kin relationships between parents and their children based on their face images is a common biometric task, conducted daily by human observers. Kin similarity is subject to significant appearance variability, as parents and their children differ by age and gender. In this work we propose a multiview hybrid combined symmetric and asymmetric distance learning network for facial kinship verification. Dual discriminative representations are learnt for the parents and the children using a margin maximization learning scheme, while the kin verification is formulated as a classification problem solved by SVM. The proposed scheme was successfully applied to the KinFaceW and KinFaceCornell datasets, comparing favorably with contemporary state-of-the-art approaches.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Vision and Image Understanding - Volume 167, February 2018, Pages 28-36
Journal: Computer Vision and Image Understanding - Volume 167, February 2018, Pages 28-36
نویسندگان
Shahar Mahpod, Yosi Keller,