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Deep Learning in Object Detection and Recognition by Abdenour Hadid (2019, Hardcover)
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November 27, 2019. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. See all details. Print length.
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About this product
Product Identifiers
PublisherSpringer
ISBN-109811051518
ISBN-139789811051517
eBay Product ID (ePID)237541185
Product Key Features
Number of PagesXvi, 224 Pages
LanguageEnglish
Publication NameDeep Learning in Object Detection and Recognition
Publication Year2019
SubjectProbability & Statistics / General, Databases / Data Mining, Computer Vision & Pattern Recognition
TypeTextbook
Subject AreaMathematics, Computers
AuthorAbdenour Hadid
FormatHardcover
Dimensions
Item Weight21.8 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Number of Volumes1 vol.
IllustratedYes
Table Of Content1. An Overview of Deep Learning.- 2. Object Detection In Deep Learning.- 3. Deep Learning in Face Recognition across Pose and Illumination.- 4. Face Anti-spoofing via Deep Local Binary Pattern.- 5. Face Anti-spoofing via Deep Local Binary Pattern.- 6. Deep Learning Architectures for Face Recognition in Video Surveillance.- 7. Deep learning for 3D data.- 8. Deep Learning based Descriptors for Object Instance Search.
SynopsisThis book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks., Discusses recent developments in deep learning and its applications in object detection and recognition Covers key tasks of computer vision, including object detection, face detection, face recognition, 3D object recognition and image retrieval Includes contributions written by leading experts in the respective fields Provides several illustrations and experimental results explaining the different methods
LC Classification NumberTA1634
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