Deep Learning-Based Face Analytics [E-Book] / edited by Nalini K Ratha, Vishal M. Patel, Rama Chellappa.
This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recogn...
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Full text |
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Personal Name(s): | Chellappa, Rama, editor |
Patel, Vishal M., editor / Ratha, Nalini K., editor | |
Edition: |
1st edition 2021. |
Imprint: |
Cham :
Springer,
2021
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Physical Description: |
VI, 407 pages 182 illustrations, 169 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030746971 |
DOI: |
10.1007/978-3-030-74697-1 |
Series Title: |
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Advances in Computer Vision and Pattern Recognition
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Subject (LOC): |
- 1. Deep CNN Face Recognition: Looking at the Past and the Future
- 2. Face Segmentation, Face Swapping, and Their Effect on Face Recognition
- 3. Disentangled Representation Learning and its Application to Face Analytics
- 4. Learning 3D Face Morphable Model from In-the-wild Images
- 5. Deblurring Face Images using Deep Networks
- 6. Blind-Superresolution of Faces for Surveillance
- 7. Hashing a Face.