| 書目名稱 | Human Centric Visual Analysis with Deep Learning | | 編輯 | Liang Lin,Dongyu Zhang,Wangmeng Zuo | | 視頻video | http://file.papertrans.cn/430/429065/429065.mp4 | | 概述 | Presents effective deep learning based solutions for human centric visual analysis.Summarizes the latest studies in human centric visual analysis.Covers many practical examples and applications for hu | | 圖書封面 |  | | 描述 | .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 | | 出版日期 | Book 2020 | | 關(guān)鍵詞 | Deep Learning; Visual Analysis; Human Centric Computing; Object Recognition and Detection; Computer Visi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-13-2387-4 | | isbn_ebook | 978-981-13-2387-4 | | copyright | Springer Nature Singapore Pte Ltd. 2020 |
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