Computer Vision

電腦視覺是研究如何使人工系統從圖像或多維資料中“感知”的科學。本書是電腦視覺領域的經典教材，內容涉及攝像機的幾何模型、光照及陰影、顏色、線性濾波、局部圖像特徵、紋理、立體視覺、運動結構、聚類分割、分組與模型擬合、跟蹤、配准、平滑表面及其輪廓、深度資料、圖像分類、物體檢測與識別、基於圖像的建模與渲染、人形研究、圖像搜索與檢索、優化技術等。與前一版相比，本書簡化了部分主題，增加了應用示例，重寫了關於現代特徵的內容，詳述了現代圖像編輯技術與物體識別技術。

This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step-by-step, approach to application development for

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for grad

Our world and the people within it are increasingly interpreted and classified by automated systems. At the same time, automated classifications influence what happens in the physical world. These entanglements change what it means to interact with governance, and shift what elements of our identity are knowable and meaningful. In this cyber-physical world, or 'world state', what is the role for law? Specifically, how should law address the claim that computational systems know us better than we know ourselves? Monitoring Laws traces the history of government profiling from the invention of photography through to emerging applications of computer vision for personality and behavioral analysis. It asks what dimensions of profiling have provoked legal intervention in the past, and what is different about contemporary profiling that requires updating our legal tools. This work should be read by anyone interested in how computation is changing society and governance, and what it is about p

Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory.

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intellige

If you’re a developer familiar with AI, machine learning, and computer vision, this practical book provides you with a foundational understanding of augmented and virtual reality functions. AR a

大數據分析是許多傳統產業的主要驅動力，例如：金融、醫療和能源等等。視覺資料分析（Visual data analysis）和電腦視覺（Computer Vision）則是這場資料革命的一部分。近年來，它們的發展漸趨成熟，在自主導航、遊戲和製造業等領域，創造了許多新穎又令人振奮的應用程式。 本書將帶領讀者建立強大且獨特的電腦視覺應用程式。每一章將從一個專案展開，並深入OpenCV的某個重要面向，例如

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using r

《MATLAB圖像處理：程序實現與模塊化仿真（第2版）》深入淺出地介紹了MATLAB 2014a計算機視覺工具箱（Computer Vision System）、數字圖像處理工具箱的新功能，並以此為編程工具闡述了數字圖像／視頻的基礎理論、關鍵技術、應用實例、解決方案、發展前沿。 《MATLAB圖像處理：程序實現與模塊化仿真（第2版）》共8章，內容包括：MATLAB數字圖像／視頻處理技術基礎、數字

本書立足於計算機視覺特徵檢測這一基礎技術問題，介紹了特徵點、線和區域的檢測方法，並給出具體的檢測應用實例，旨在為相關技術人員提供特徵檢測及應用方面的新研究進展，促進特徵檢測技術在社會經濟生活領域的應用和發展。 本書內容分為兩部分：特徵檢測方法和特徵檢測技術應用。在特徵檢測方法方面，第2章介紹特徵點檢測方法，第3～5章介紹特徵線檢測方法，第6章介紹斑狀區域檢測方法，第7～9章介紹規則形狀(如多邊

本書以MATLAB 8.X漢化版為工具，深入淺出地介紹了基於計算機視覺系統工具箱（Computer Vision System Toolbox）的數字圖像處理的基本原理、實現方法、仿真過程、代碼生成,具有循序漸進、易於研讀的特點。本書共6章，內容包括MATLAB操作基礎、計算機視覺與數字圖像處理基礎、基於系統對象的編程、模塊化仿真、C/C++代碼的生成、雙目立體視覺及其程序實現。 本書可作為電子信

本書以MATLAB 8.X漢化版為工具，深入淺出地介紹了基於計算機視覺系統工具箱（Computer Vision System Toolbox）的數字圖像處理的基本原理、實現方法、仿真過程、代碼生成,具有循序漸進、易於研讀的特點。

This book focuses on ubiquitous indoor localization services, specifically addressing the issue of floor plans. It combines computer vision algorithms and mobile techniques to reconstruct complete and

Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a

For courses in Image Processing and Computer Vision. Introduce your students to image processing with the industry's most prized text For 40 years, Image Processing has been the foundational text for

TensorFlow is currently the leading open-source software for deep learning, used by a rapidly growing number of practitioners working on computer vision, Natural Language Processing (NLP), speech reco

A practical introduction to intelligent computer vision theory, design, implementation, and technology The past decade has witnessed epic growth in image processing and intelligent computer vision tec

This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects wit

Steve Jobs’ talent is well known by everyone and this fun read shows how his vision, and that of a group of super-talented computer and design geniuses combined to create Apple, one of the most innova

This book covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image

This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human

Design and develop advanced computer vision projects using OpenCV with PythonAbout This BookProgram advanced computer vision applications in Python using different features of the OpenCV libraryPracti

本書以MATLAB 8.X漢化版為工具，深入淺出地介紹了基于計算機視覺工具箱（Computer Vision System Toolbox）的數字圖像處理的基本原理、實現方法、仿真過程，著重介紹了如何將仿真代碼或模型快速地轉化成為C/C++代碼。內容包括：MATLAB基本操作、Visual Studio

A presentation of the use of computer vision systems to control manufacturing processes and product quality in the hard disk drive industry.Visual Inspection Technology in the Hard Disk Drive Industry

Motivated by a variational model concerning the depth of the objects in a picture and the problem of hidden and illusory contours, this book investigates one of the central problems of computer vision

IP, Computer Vision, and Pattern Recognition is a compendium of articles and papers that were presented at IPCV '14, an international conference that serves researchers, scholars, professionals, stude

In many computer vision applications, objects have to be learned and recognized in images or image sequences. This book presents new probabilistic hierarchical models that allow an efficient represent

This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, mu

Computer Vision on Mobile Devices describes the latest developments in mobile computer vision, including design choices and methodologies for adapting computer vision algorithms to mobile hardware and

Ideal for classroom use and self-study, this book explains the implementation of the most effective modern methods in image analysis, covering segmentation, registration and visualisation, and focusing on the key theories, algorithms and applications that have emerged from recent progress in computer vision, imaging and computational biomedical science. Structured around five core building blocks - signals, systems, image formation and modality; stochastic models; computational geometry; level set methods; and tools and CAD models - it provides a solid overview of the field. Mathematical and statistical topics are presented in a straightforward manner, enabling the reader to gain a deep understanding of the subject without becoming entangled in mathematical complexities. Theory is connected to practical examples in x-ray, ultrasound, nuclear medicine, MRI and CT imaging, removing the abstract nature of the models and assisting reader understanding.

This book is intended for C++ developers who want to learn how to implement the main techniques of OpenCV and get started with it quickly. Working experience with computer vision / image proce

Nanophotonics is a newly developing and exciting field, with two main areas of interest: imaging/computer vision and data transport. The technologies developed in the field of nanophotonics have far r

Variational Regularization of 3D Data provides an introduction to variational methods for data modelling and its application in computer vision. In this book, the authors identify interpolation as an

This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop “true consciousness.” It illustrates the critical fi

The reliable detection of low-level image structures is an old and still challenging problem in computer vision. This book leads a detailed tour through the LSD algorithm, a line segment detector desi

This SpringerBrief reveals the latest techniques in computer vision and machine learning on robots that are designed as accurate and efficient military snipers. Militaries around the world are investi

This book is a collection representing some of the most powerful and useful computer techniques in the service of art. Combining contributions from peer-reviewed journals of computer vision, image ana

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and gl

This book will be highly useful to researchers in the area of pattern classification and computer vision as well as for academics and professionals. Combining theory and practice, the book presents se