Deep Learning in Object Detection and Recognition
暫譯: 物件偵測與識別中的深度學習

Jiang, Xiaoyue, Hadid, Abdenour, Pang, Yanwei

Deep Learning in Object Detection and Recognition
  • 出版商: Springer
  • 出版日期: 2019-11-27
  • 售價: $6,490
  • 貴賓價: 9.5 折 $6,166
  • 語言: 英文
  • 頁數: 226
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9811051518
  • ISBN-13: 9789811051517
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

本書討論了使用深度學習方法在物體檢測和識別方面的最新進展，這些方法在計算機視覺和圖像處理領域取得了巨大的成功。它提供了深度學習理論及其在計算機視覺應用中的最新發展的系統性和有條理的概述，並通過關鍵主題進行說明，包括物體檢測、面部分析、3D物體識別和圖像檢索。

本書理論與實踐相結合，適合對深度學習、計算機視覺及其他相關領域感興趣的學生、研究人員和從業者，也可以作為參考書籍。對各種深度學習應用的全面比較幫助讀者在具備基本的機器學習和微積分理解的基礎上掌握理論，並激發在其他計算機視覺任務中的應用靈感。

作者簡介

​Xiaoyue Jiang received her Ph.D. degree in Computer Science and Technology from Northwestern Polytechnical University in 2006. From Xiaoyue Jiang received her Ph.D. degree in Computer Science and Technology from Northwestern Polytechnical University in 2006. From 2006 to 2012, she has worked in Vrije University of Brussels (Belgium), University of Birmingham (UK) and Queen's University of Belfast (UK) as assistant and associated research fellow, respectively. She has worked as associated professor at Northwestern Polytechnical University since 2012. Her research interests includes computer vision, image processing and pattern recognition. She has published more than 50 research papers and is currently senior fellow and secretary of Shaanxi Society of Image and Graphics.

Abdenour Hadid is an adjunct professor at the Center for Machine Vision and Signal Analysis at University of Oulu. He is the chairman of the Pattern Recognition Society of Finland. His research interests include biometrics and facial image analysis, local descriptors, machine learning and human-machine interaction. He has authored over 140

Yanwei Pang received his Ph.D. degree in Electronic Engineering from the University of Science and Technology of China (USTC) in 2004. Currently, he is a professor at the School of Electronic Information Engineering, Tianjin University, China. He is also the founding director of the Visual Pattern Analysis Laboratory of Tianjin University. His research interests include deep convolutional neural networks, pattern recognition, machine learning, computer vision and digital image processing. He has authored more than 100 scientific papers, 24 of which were published in IEEE Transactions.

Eric Granger earned his Ph.D. in EE from the Poly-technique Montréal in 2001, and worked as a defense scientist at DRDC-Ottawa (1999-2001), and in R&D with Mitel Networks (2001-04). He joined the École de Technologie Supérieure (Université du Québec), Montreal, in 2004, where he is presently full professor and director of LIVIA, a research laboratory on computer vision and artificial intelligence. His research focuses on adaptive pattern recognition, machine learning, computer vision and computational intelligence.

Xiaoyi Feng received her Ph.D. degree in Electronics and Information from Northwestern Polytechnical University in 2001. She is currently a professor and vice dean of the School of Electronics and Information, Northwestern Polytechnical University, and the vice director of the key laboratory of Ministry of Education "Aerospace electronics information perception and photoelectric control." Her research interests include image processing, pattern recognition, computer vision, radar imaging, embedded system design and applications. She is the executive director of Shaanxi Society of Image and Graphics, and senior member of the China Society of Electronics.

作者簡介(中文翻譯)

江小月於2006年獲得西北工業大學計算機科學與技術博士學位。從2006年到2012年，她曾在比利時布魯塞爾自由大學、英國伯明翰大學和英國貝爾法斯特女王大學擔任助理研究員和副研究員。自2012年以來，她一直擔任西北工業大學的副教授。她的研究興趣包括計算機視覺、圖像處理和模式識別。她已發表超過50篇研究論文，並目前擔任陝西省圖像與圖形學會的高級研究員和秘書。

阿卜德努爾·哈迪德是奧盧大學機器視覺與信號分析中心的兼任教授。他是芬蘭模式識別學會的主席。他的研究興趣包括生物識別和面部圖像分析、本地描述符、機器學習和人機互動。他已發表超過140篇論文。

彭彥偉於2004年獲得中國科學技術大學電子工程博士學位。目前，他是中國天津大學電子信息工程學院的教授，也是天津大學視覺模式分析實驗室的創始主任。他的研究興趣包括深度卷積神經網絡、模式識別、機器學習、計算機視覺和數字圖像處理。他已發表超過100篇科學論文，其中24篇發表在IEEE Transactions上。

埃里克·格蘭傑於2001年在蒙特利爾理工學院獲得電子工程博士學位，並曾在DRDC-Ottawa擔任國防科學家（1999-2001），以及在Mitel Networks從事研發工作（2001-04）。他於2004年加入魁北克大學的高等技術學院（École de Technologie Supérieure），目前擔任全職教授及LIVIA計算機視覺與人工智慧研究實驗室的主任。他的研究重點是自適應模式識別、機器學習、計算機視覺和計算智能。

馮曉怡於2001年獲得西北工業大學電子與信息博士學位。她目前是西北工業大學電子與信息學院的教授及副院長，並擔任教育部重點實驗室「航天電子信息感知與光電控制」的副主任。她的研究興趣包括圖像處理、模式識別、計算機視覺、雷達成像、嵌入式系統設計及應用。她是陝西省圖像與圖形學會的執行董事，並是中國電子學會的高級會員。

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