Super-low resolution face recognition using integrated Efficient Sub-Pixel Convolutional Neural Network (ESPCN) and Convolutional Neural Network (CNN)
Several deep image-based models which depend on deep learning have shown great success in the recorded computational and reconstruction efficiencies, especially for single high-resolution images. In the past, the use of superresolution was commonly characterized by interference, and hence, the need...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Universiti Malaysia Pahang
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/26467/ http://umpir.ump.edu.my/id/eprint/26467/ http://umpir.ump.edu.my/id/eprint/26467/1/55.%20Super-low%20resolution%20face%20recognition%20using%20integrated%20Efficient.pdf http://umpir.ump.edu.my/id/eprint/26467/2/55.1%20Super-low%20resolution%20face%20recognition%20using%20integrated%20Efficient.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/26467/http://umpir.ump.edu.my/id/eprint/26467/
http://umpir.ump.edu.my/id/eprint/26467/1/55.%20Super-low%20resolution%20face%20recognition%20using%20integrated%20Efficient.pdf
http://umpir.ump.edu.my/id/eprint/26467/2/55.1%20Super-low%20resolution%20face%20recognition%20using%20integrated%20Efficient.pdf