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, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field. Even though there have been a number of different approaches proposed ...
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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, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field. Even though there have been a number of different approaches proposed in the literature for face recognition based on deep learning methods, there is not a single book available in the literature that gives a complete overview of these methods. The proposed book captures the state of the art in face recognition using various deep learning methods, and it covers a variety of different topics related to face recognition. This book is aimed at graduate students studying electrical engineering and/or computer science. Biometrics is a course that is widely offered at both undergraduate and graduate levels at many institutions around the world: This book can be used as a textbook for teaching topics related to face recognition. In addition, the work is beneficial to practitioners in industry who are working on biometrics-related problems. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra.
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Add this copy of Deep Learning-Based Face Analytics to cart. $187.87, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2022 by Springer Nature Switzerland AG.
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New. Contains: Illustrations, black & white, Illustrations, color. Advances in Computer Vision and Pattern Recognition . VI, 407 p. 182 illus., 169 illus. in color. Intended for professional and scholarly audience.
Add this copy of Deep Learning-Based Face Analytics to cart. $187.87, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2021 by Springer.
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New. Print on demand Sewn binding. Cloth over boards. 407 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color. Advances in Computer Vision and Pattern Recognition.
Add this copy of Deep Learning-Based Face Analytics to cart. $214.08, new condition, Sold by Ria Christie Books rated 4.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2022 by Springer Nature Switzerland AG.
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Seller's Description:
New. Contains: Illustrations, black & white, Illustrations, color. Advances in Computer Vision and Pattern Recognition . VI, 407 p. 182 illus., 169 illus. in color. Intended for professional and scholarly audience.
Add this copy of Deep Learning-Based Face Analytics to cart. $214.08, new condition, Sold by Ria Christie Books rated 4.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2021 by Springer.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Sewn binding. Cloth over boards. 407 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color. Advances in Computer Vision and Pattern Recognition.
