TY  - BOOK
AU  - Jiang,Xiaoyue
AU  - Hadid,Abdenour
AU  - Pang,Yanwei
AU  - Granger,Eric
AU  - Feng,Xiaoyi
TI  - Deep Learning in Object Detection and Recognition
SN  - 9789811051524
AV  - TA1630-1650 
U1  - 006.6 23
PY  - 2019///
CY  - Singapore
PB  - Springer Singapore, Imprint: Springer
KW  - Optical data processing
KW  - Data mining
KW  - Pattern recognition
KW  - Image Processing and Computer Vision
KW  - Data Mining and Knowledge Discovery
KW  - Pattern Recognition
N1  - 1. 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
N2  - 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
UR  - https://doi.org/10.1007/978-981-10-5152-4
ER  -