Books > Computing & IT > Applications of computing > Image processing
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Human Centric Visual Analysis with Deep Learning (Hardcover, 1st ed. 2020)
Loot Price: R4,314
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Human Centric Visual Analysis with Deep Learning (Hardcover, 1st ed. 2020)
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This book introduces the applications of deep learning in various
human centric visual analysis tasks, including classical ones like
face detection and alignment and some newly rising tasks like
fashion clothing parsing. Starting from an overview of current
research in human centric visual analysis, the book then presents a
tutorial of basic concepts and techniques of deep learning. In
addition, the book systematically investigates the main human
centric analysis tasks of different levels, ranging from detection
and segmentation to parsing and higher-level understanding. At
last, it presents the state-of-the-art solutions based on deep
learning for every task, as well as providing sufficient references
and extensive discussions. Specifically, this book addresses four
important research topics, including 1) localizing persons in
images, such as face and pedestrian detection; 2) parsing persons
in details, such as human pose and clothing parsing, 3) identifying
and verifying persons, such as face and human identification, and
4) high-level human centric tasks, such as person attributes and
human activity understanding. This book can serve as reading
material and reference text for academic professors / students or
industrial engineers working in the field of vision surveillance,
biometrics, and human-computer interaction, where human centric
visual analysis are indispensable in analysing human identity,
pose, attributes, and behaviours for further understanding.
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