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Deep Learning In Object Detection And Recognition - Research Book

Deep Learning In Object Detection And Recognition - Research Book

Great Research Book in Deep Learning In Object Detection And Recognition

Author(s) Name:  Xiaoyue Jiang, Abdenour Hadid, Yanwei Pang, Eric Granger, Xiaoyi Feng

About the Book:

   This 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.

Table of Contents

  • An Overview of Deep Learning
  • Deep Learning in Object Detection
  • Deep Learning in Face Recognition Across Variations in Pose and Illumination
  • Face Anti-spoofing via Deep Local Binary Pattern
  • Kinship Verification Based on Deep Learning
  • Deep Learning Architectures for Face Recognition in Video Surveillance
  • Deep Learning for 3D Data Processing
  • Deep Learning-Based Descriptors for Object Instance Search
  • ISBN:  978-981-10-5152-4

    Publisher:  Springer

    Year of Publication:  2019

    Book Link:  Home Page Url