Deep Learning-Based 3D Face Recognition Using Derived Features from Point Cloud

Muhammed Enes Atik*, Zaide Duran

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6 Atıf (Scopus)


With developing technology and urbanization, smart city applications have increased. Accordingly, this development brought some difficulties such as public security risk. Identifying people’s identities is a requirement in both smart city challenges and smart environment or smart interaction difficulties. Face recognition has a huge potential for people’s identification. It was possible to perform face recognition applications in larger databases and different situations with the development of deep learning methods. 2D images are usually used for face recognition applications. However, different challenges such as pose change and illumination cause difficulties in 2D facial recognition applications. Laser scanning technology has provided the production of 3D point clouds, including the geometric information of the faces. When the point clouds are combined with deep learning techniques, 3D face recognition has great potential. In the study, 2D images were created for facial recognition using feature maps obtained from 3D point clouds. ResNet-18, ResNet-50 and ResNet-101 architectures, which are different versions of ResNet architecture, were used for classification purposes. Bosphorus database was used in the study. 3D Face recognition was performed with different facial expressions and occlusions based on the data of 105 people. As a result of the study, overall accuracy was obtained with ResNet-18, ResNet-50, and ResNet-101 architectures at 77.36%, 77.03% and 81.54% respectively.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıInnovations in Smart Cities Applications Volume 4 - The Proceedings of the 5th International Conference on Smart City Applications
EditörlerMohamed Ben Ahmed, Domingos Santos, Anouar Abdelhakim Boudhir, Ismail Rakip Karas, Olga Sergeyeva
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfa sayısı12
ISBN (Basılı)9783030668396
Yayın durumuYayınlandı - 2021
Etkinlik5th International Conference on Smart City Applications, SCA 2020 - Karabuk, Turkey
Süre: 7 Eki 20209 Eki 2020

Yayın serisi

AdıLecture Notes in Networks and Systems
ISSN (Basılı)2367-3370
ISSN (Elektronik)2367-3389


???event.eventtypes.event.conference???5th International Conference on Smart City Applications, SCA 2020

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Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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