Deep Learning in Computer Vision: Principles and Applications (Hardcover)

Hassaballah, Mahmoud, Awad, Ali Ismail

Deep Learning in Computer Vision: Principles and Applications (Hardcover)

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商品描述

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.

商品描述(中文翻譯)

深度學習演算法通過引入非傳統和高效的解決方案，為計算機視覺社區帶來了一場革命，解決了長期未解決或部分解決的幾個與圖像相關的問題。本書包含十一個章節，每個章節都解釋了特定主題的深度學習原則，介紹了最新技術的評論，並向計算機視覺社區呈現了研究成果。本書涵蓋了深度學習概念和應用的廣泛範圍，例如在可編程閘陣列上加速卷積神經網絡推理、監控應用中的火災檢測、人臉識別、動作和活動識別、自動駕駛的語義分割、航空影像配准、機器人視覺、腫瘤檢測以及皮膚病變分割和黑色素瘤分類。本書的內容組織得使每個章節都可以獨立閱讀。本書對於研究人員、攻讀碩士學位或高年級本科生修讀相關課程的學生以及對深度學習在計算機視覺、圖像處理和模式識別中應用感興趣的人來說都是一本有價值的參考書。

作者簡介

Mahmoud Hassaballah received the Doctor of Engineering (D. Eng.) in Computer Science from Ehime University, Japan in 2011. He was a visiting scholar with the Department of Computer & Communication Science, Wakayama University, Japan and GREAH laboratory, Le Havre Normandie University, France. He is currently an Associate Professor of Computer Science at the Faculty of Computers and Information, South Valley University, Egypt. His research interests include feature extraction, object detection/recognition, artificial intelligence, biometrics, image processing, computer vision, machine learning, and data hiding.

Ali Ismail Awad is currently an Associate Professor (Docent) with the Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden, where he also serves as a Coordinator of the Master Programme in Information Security. He is a Visiting Researcher with the University of Plymouth, United Kingdom. He is also an Associate Professor with the Electrical Engineering Department, Faculty of Engineering, Al-Azhar University at Qena, Qena, Egypt. His research interests include information security, Internet-of-Things security, image analysis with applications in biometrics and medical imaging, and network security.

作者簡介(中文翻譯)

Mahmoud Hassaballah於2011年獲得日本愛媛大學的計算機科學工程博士學位（D. Eng.）。他曾在日本和法國的大學進行訪問學者研究，包括日本和歌山大學的計算機與通信科學系以及法國勒阿弗爾諾曼底大學的GREAH實驗室。他目前是埃及南部山谷大學計算機科學學院的副教授。他的研究興趣包括特徵提取、物體檢測/識別、人工智能、生物特徵識別、影像處理、計算機視覺、機器學習和數據隱藏。

Ali Ismail Awad目前是瑞典吕勒奥理工大学计算机科学、电气与航天工程系的副教授（Docent），同時也是信息安全硕士课程的协调员。他是英国普利茅斯大学的访问研究员，也是埃及奎纳阿尔阿兹哈尔大学电气工程系的副教授。他的研究兴趣包括信息安全、物联网安全、图像分析在生物特征和医学成像中的应用以及网络安全。

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