Deep Learning in Computer Vision: Principles and Applications
暫譯: 計算機視覺中的深度學習：原則與應用

Hassaballah, Mahmoud, Awad, Ali Ismail

Deep Learning in Computer Vision: Principles and Applications

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)

深度學習演算法為計算機視覺社群帶來了一場革命，透過引入非傳統且高效的解決方案，解決了多個長期未解決或部分解決的影像相關問題。本書包含十一章，每一章都解釋了特定主題的深度學習原則，介紹了最新技術的回顧，並向計算機視覺社群呈現研究成果。本書涵蓋了深度學習概念和應用的廣泛主題，例如在現場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、空中影像配準、機器人視覺、腫瘤檢測、皮膚病變分割以及皮膚黑色素瘤分類。本書的內容組織得當，使每一章都可以獨立於其他章節閱讀。本書是研究人員、研究生以及可能的高年級本科生在相關主題的進階課程中不可或缺的伴侶，並且對於那些對於深度學習在計算機視覺、影像處理和模式識別中的應用感興趣的人士也具有重要價值。

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)

馬哈茂德·哈薩巴拉（Mahmoud Hassaballah）於2011年在日本愛媛大學獲得計算機科學的工程博士（D. Eng.）。他曾擔任日本和歌山大學計算機與通信科學系的訪問學者，以及法國勒阿弗爾諾曼第大學GREAH實驗室的訪問學者。目前，他是埃及南谷大學計算機與信息學院的計算機科學副教授。他的研究興趣包括特徵提取、物體檢測/識別、人工智慧、生物識別、圖像處理、計算機視覺、機器學習和數據隱藏。

阿里·伊斯梅爾·阿瓦德（Ali Ismail Awad）目前是瑞典盧勒奧科技大學計算機科學、電氣與空間工程系的副教授（Docent），並擔任信息安全碩士課程的協調員。他是英國普利茅斯大學的訪問研究員。同時，他也是埃及基納阿茲哈大學工程學院電氣工程系的副教授。他的研究興趣包括信息安全、物聯網安全、生物識別和醫學影像應用的圖像分析，以及網絡安全。

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