Computer Vision: Challenges, Trends, and Opportunities

Ahad, MD Atiqur Rahman, Mahbub, Upal, Turk, Matthew

  • 出版商: CRC
  • 出版日期: 2024-07-30
  • 售價: $5,020
  • 貴賓價: 9.5$4,769
  • 語言: 英文
  • 頁數: 348
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032317051
  • ISBN-13: 9781032317052
  • 相關分類: Computer Vision
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications.

This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI.

Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and providing a range of perspectives from top researchers around the world. A substantial compilation of ideas and state-of-the-art solutions, it will be of great benefit to students, researchers, and industry practitioners.

商品描述(中文翻譯)

計算機視覺近年來取得了巨大的進展,其應用領域多樣且快速增長,但仍存在許多挑戰。本書匯集了一系列領先的研究人員,探討了計算機視覺及其應用的各種研究方向、挑戰和前景。

本書突出了領域內領先研究人員對核心挑戰以及解決方案的貢獻。它涵蓋了數據驅動的人工智能、生物特徵識別、數字取證、醫療保健、機器人技術、娛樂和擴增實境、自動駕駛、運動分析和神經形態計算等重要主題,涵蓋了學術和工業研發的雙重視角。本書提供了廣度和深度的結合,對計算機視覺、影像和人工智能領域都具有重要影響。

《計算機視覺:挑戰、趨勢與機遇》涵蓋了計算機視覺及其應用的及時和重要方面,突出了未來的挑戰,並提供了來自世界頂尖研究人員的多種觀點。作為一本集思廣益和最新解決方案的重要著作,它將對學生、研究人員和業界從業人員帶來巨大的益處。

作者簡介

Md Atiqur Rahman Ahad, Ph.D., Senior Member, IEEE, Senior Member, OPTICA (formerly OSA), is a Professor of Electrical & Electronic Engineering, University of Dhaka (DU). He is currently working as a specially appointed Associate Professor at Osaka University, Japan. He works on computer vision, imaging, IoT, healthcare, etc. He was awarded the prestigious UGC Gold Medal (handed by Honorable President of Bangladesh in 2018), JSPS Postdoctoral Fellowship, and a no. of awards/scholarships. He was a Visiting Researcher at KIT. He has published over ten books and 200 journal articles, conference papers and book chapters. He has received 40 international awards in various conferences/journals/societies. Ahad was invited as keynote/invited speakers 110 times in different conferences/universities. He has established several international MOU/collaborations (e.g., Clemson University, University of Hyogo, RCCIIT, Fukuoka Women University, Kyushu University, etc.).
Website: http: //ahadVisionLab.com

Upal Mahbub, Ph.D., Senior Member IEEE, is currently working as a Senior Engineer at the Multimedia R&D Lab at Qualcomm Technologies Inc., San Diego, California, USA. He received his Ph.D. (2018) and an M.Sc. (2017) degrees in Electrical and Computer Engineering from the University of Maryland College Park. Before joining the Ph.D. program, Dr. Mahbub was an Assistant Professor at the Dept. of EEE, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh. Upal Mahbub is the recipient of the best paper award at IEEE UEMCON 2016, the best poster award at BTAS 2016, the best paper award at ICCIT 2011, and a distinguished graduate fellowship from the A. James Clark School of Engineering at the University of Maryland. He has published over thirty articles in international conferences and prestigious journals, recently published an edited book entitled "Contactless Human Activity Analysis", served as editor in international journals (guest editor of PRL special issue AHAAGR 2021, associate editor of IJCVSP), presented his research at numerous conferences, and served in the technical and/or program committees of ICIEV (2012-2021), IVPR (track chair 202, program chair 2021), ICECE (2010 & 2012), and ABC (2019, 2020, 2021).

Matthew Turk, Ph.D., Fellow, IEEE; Fellow, Fellow IAPR, is the President of the Toyota Technological Institute at Chicago (TTIC) and an emeritus professor in computer science at the University of California, Santa Barbara, where he co-directed the UCSB Four Eyes Lab, focused on the "four I's" of Imaging, Interaction, and Innovative Interfaces. He received a PhD from the Massachusetts Institute of Technology. He has worked at Martin Marietta Aerospace, LIFIA/ENSIMAG (Grenoble, France), Teleos Research, and Microsoft Research, where he was a founder of the Vision Technology Group. He has served as General or Program Chair of several major conferences, including the ACM Multimedia Conference, the IEEE Conference on Automatic Face and Gesture Recognition, the ACM International Conference on Multimodal Interaction, the IEEE Conference on Computer Vision and Pattern Recognition, and the IEEE Winter Conference on Applications of Computer Vision. He co-founded an augmented reality startup company in 2014 that was acquired by PTC Vuforia in 2016. Dr. Turk has received several best paper awards, and he is an ACM Fellow, an IEEE Fellow, an IAPR Fellow, and the recipient of the 2011-2012 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies.

Richard Hartley, Ph.D., Fellow, IEEE; Fellow, Australian Academy of Science; Fellow, Australian Mathematical Society, is a member of the computer vision group in the Department of Information Engineering, at the Australian National University, where he has been since January 2001. He did his doctoral research in Mathematics at the University of Toronto, Canada in 1976. He also received an MSc in Mathematics from the same university in 1972 and another MSc in Computer Science from Stanford University in 1985. Dr. Hartley worked at the General Electric Research and Development Center from 1985 to 2001. During the period 1985-1988, he was involved in the design and implementation of Computer-Aided Design tools for electronic design and created a very successful design system called the Parsifal Silicon Compiler. In 1991 he was awarded GE's Dushman Award for this work.

作者簡介(中文翻譯)

Md Atiqur Rahman Ahad,博士,IEEE高級會員,OPTICA(前身為OSA)高級會員,是孟加拉達卡大學(DU)電氣與電子工程學院的教授。他目前在日本大阪大學擔任特別任命的副教授。他的研究領域包括計算機視覺、影像處理、物聯網、醫療保健等。他曾獲得UGC金牌獎(由孟加拉國榮譽總統於2018年頒發)、JSPS博士後研究員獎學金以及多個獎項/獎學金。他曾在KIT擔任訪問研究員。他已出版了十多本書籍和200多篇期刊文章、會議論文和專書章節。他在各種會議/期刊/學會中獲得了40個國際獎項。Ahad曾應邀作為主題演講嘉賓/特邀演講嘉賓在不同的會議/大學中發表演講110次。他建立了幾個國際MOU/合作關係(例如克萊姆森大學、兵庫縣立大學、RCCIIT、福岡女子大學、九州大學等)。

網站:http://ahadVisionLab.com

Upal Mahbub,博士,IEEE高級會員,目前在美國加利福尼亞州聖地亞哥的高通技術公司多媒體研發實驗室擔任高級工程師。他於2018年獲得馬里蘭大學學院公園分校電機與計算機工程學博士學位(2018年)和碩士學位(2017年)。在攻讀博士學位之前,Mahbub博士曾在孟加拉達卡孟加拉工程技術大學電機與電子工程學系擔任助理教授。Upal Mahbub獲得了IEEE UEMCON 2016最佳論文獎、BTAS 2016最佳海報獎、ICCIT 2011最佳論文獎以及馬里蘭大學A. James Clark工程學院的傑出研究生獎學金。他在國際會議和知名期刊上發表了三十多篇文章,最近出版了一本名為《非接觸式人體活動分析》的編輯書籍,擔任國際期刊的編輯(PRL特刊AHAAGR 2021的客座編輯,IJCVSP的副編輯),在眾多會議上發表了他的研究成果,並在ICIEV(2012-2021)、IVPR(2020年軌道主席,2021年程序主席)、ICECE(2010年和2012年)和ABC(2019年,2020年,2021年)的技術和/或程序委員會中擔任職務。

Matthew Turk,博士,IEEE院士,IAPR院士,是芝加哥豐田技術研究所(TTIC)的院長,也是加利福尼亞大學聖塔芭芭拉分校的計算機科學名譽教授,他共同指導了UCSB Four Eyes實驗室,專注於影像、互動和創新界面的研究。他在麻省理工學院獲得博士學位。他曾在Martin Marietta Aerospace、LIFIA/ENSIMAG(法國格勒諾布爾)、Teleos Research和Microsoft Research工作,並在Microsoft Research擔任Vision Technology Group的創始人。他曾擔任多個重要會議的主席或程序主席,包括ACM多媒體會議、IEEE自動人臉和手勢識別會議、ACM國際多模態交互會議、IEEE計算機視覺和模式識別會議以及IEEE冬季計算機視覺應用會議。他於2014年共同創辦了一家擴增實境初創公司,該公司於2016年被PTC Vuforia收購。Turk博士獲得了多個最佳論文獎,並且是ACM院士、IEEE院士、IAPR院士,以及2011-2012年富布萊特-諾基亞信息和通信技術杰出主席。

Richard Hartley,博士,IEEE院士,澳大利亞科學院院士,澳大利亞數學學會院士,是澳大利亞國立大學信息工程系計算機視覺組的成員,自2001年以來一直在該大學任職。他在1976年在加拿大多倫多大學數學系進行了博士研究。他還在同一所大學獲得了數學碩士學位。