Computer Vision: Challenges, Trends, and Opportunities
暫譯: 電腦視覺:挑戰、趨勢與機會
Ahad, MD Atiqur Rahman, Mahbub, Upal, Turk, Matthew
- 出版商: CRC
- 出版日期: 2026-07-20
- 售價: $2,560
- 貴賓價: 9.5 折 $2,432
- 語言: 英文
- 頁數: 348
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032358432
- ISBN-13: 9781032358437
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相關分類:
Computer Vision
尚未上市,無法訂購
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)
電腦視覺在近年來取得了巨大的進展,其應用多樣且快速增長,但仍然面臨許多挑戰。本書匯集了一系列領先的研究者,探討電腦視覺及其應用的各種研究方向、挑戰和前景。
本書突顯了該領域內各種核心挑戰以及領先研究者提出的解決方案。它涵蓋了數據驅動的人工智慧、 biometrics、生物識別、數位取證、醫療保健、機器人技術、娛樂與擴增實境(XR)、自動駕駛、運動分析和神經形態計算等重要主題,並從學術和產業研發的角度進行探討。本書在廣度和深度上提供了混合的內容,將對電腦視覺、影像處理和人工智慧領域產生影響。
《電腦視覺:挑戰、趨勢與機會》涵蓋了電腦視覺及其應用的及時且重要的方面,突顯了未來的挑戰,並提供來自全球頂尖研究者的多種觀點。這是一部重要的思想和最先進解決方案的彙編,將對學生、研究者和業界從業者帶來極大的益處。
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. 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,現任達卡大學(DU)電機與電子工程教授。他目前在日本大阪大學擔任特聘副教授。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。他於2018年獲得由孟加拉國總統頒發的UGC金獎、JSPS博士後獎學金及多項獎項/獎學金。他曾擔任KIT的訪問研究員,並發表了十多本書籍及200篇期刊文章、會議論文和書籍章節。他在各種會議/期刊/學會中獲得了40項國際獎項。Ahad曾在不同的會議/大學中受邀擔任110次主題演講/特邀演講者。他建立了多個國際合作備忘錄(例如,克萊姆森大學、兵庫大學、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,現任高通科技公司(Qualcomm Technologies Inc.)位於美國加州聖地亞哥的多媒體研發實驗室高級工程師。他於2018年獲得馬里蘭大學帕克分校的電機與計算機工程博士學位(Ph.D.)及2017年的碩士學位(M.Sc.)。在加入博士課程之前,Mahbub博士曾擔任孟加拉工程科技大學(Bangladesh University of Engineering and Technology)電機與電子工程系的助理教授。Upal Mahbub曾獲得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《無接觸人類活動分析》的編輯書籍,並擔任國際期刊的編輯(PRL特刊AHAAGR 2021的客座編輯,IJCVSP的副編輯),在多個會議上展示他的研究,並在ICIEV(2012-2021)、IVPR(202,2021年程序主席)、ICECE(2010年和2012年)及ABC(2019、2020、2021年)的技術和/或程序委員會中任職。
**Matthew Turk**,博士,IEEE 會士;IAPR 會士,現任芝加哥豐田技術研究院(Toyota Technological Institute at Chicago, TTIC)院長及加州大學聖巴巴拉分校計算機科學榮譽教授,曾共同指導UCSB四眼實驗室。他在麻省理工學院獲得博士學位。他曾在馬丁·馬里埃塔航空航天公司、LIFIA/ENSIMAG(法國格勒諾布爾)、Teleos Research和微軟研究院工作,並創立了視覺技術小組。他曾擔任多個主要會議的總主席或程序主席,包括ACM多媒體會議、IEEE自動面部和手勢識別會議、ACM國際多模態互動會議、IEEE計算機視覺與模式識別會議及IEEE計算機視覺應用冬季會議。他於2014年共同創立了一家增強現實初創公司,該公司於2016年被PTC Vuforia收購。Turk博士曾獲得多項最佳論文獎,並是ACM會士、IEEE會士、IAPR會士,以及2011-2012年富布萊特-諾基亞信息與通信技術傑出講座的獲得者。
**Richard Hartley**,博士,IEEE 會士;澳大利亞科學院會士;澳大利亞數學學會會士,現任澳大利亞國立大學信息工程系計算機視覺小組成員,自2001年1月以來一直在此工作。他於1976年在加拿大多倫多大學獲得數學博士學位,並於1972年在同一所大學獲得數學碩士學位,1985年在斯坦福大學獲得計算機科學碩士學位。Hartley博士於1985年至2001年在通用電氣研究與開發中心工作。在1985年至1988年期間,他參與了電子設計的計算機輔助設計工具的設計與實施,並創建了一個非常成功的設計系統,名為Parsifal Silicon Compiler。1991年,他因這項工作獲得了GE的Dushman獎。