Cargando…
3D texture-based face recognition system using fine-tuned deep residual networks
As the technology for 3D photography has developed rapidly in recent years, an enormous amount of 3D images has been produced, one of the directions of research for which is face recognition. Improving the accuracy of a number of data is crucial in 3D face recognition problems. Traditional machine l...
Autores principales: | Zheng, Siming, Rahmat, Rahmita Wirza OK, Khalid, Fatimah, Nasharuddin, Nurul Amelina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924501/ https://www.ncbi.nlm.nih.gov/pubmed/33816889 http://dx.doi.org/10.7717/peerj-cs.236 |
Ejemplares similares
-
A fine-tuned YOLOv5 deep learning approach for real-time house number detection
por: Taşyürek, Murat, et al.
Publicado: (2023) -
The effect of non-neovascular age-related macular degeneration on face recognition performance
por: Taylor, Deanna J., et al.
Publicado: (2018) -
Self-aware face emotion accelerated recognition algorithm: a novel neural network acceleration algorithm of emotion recognition for international students
por: Tong, Lian, et al.
Publicado: (2023) -
A new human heart vessel identification, segmentation and 3D reconstruction mechanism
por: Al-Surmi, Aqeel, et al.
Publicado: (2014) -
Oil spill identification in X-band marine radar image using K-means and texture feature
por: Chen, Rong, et al.
Publicado: (2022)