Object Recognition By Computer

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An Introduction to Object Recognition

Marco Alexander Treiber
An Introduction to Object Recognition Book PDF

Author : Marco Alexander Treiber
Publisher : Springer Science & Business Media
Page : 210 pages
File Size : 54,6 Mb
Release : 2010-07-23
Category : Computers
ISBN : 9781849962353

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An Introduction to Object Recognition by Marco Alexander Treiber Pdf

Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet. Each area of application has its specific requirements, and consequently these cannot all be tackled appropriately by a single, general-purpose algorithm. This easy-to-read text/reference provides a comprehensive introduction to the field of object recognition (OR). The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for each class. The presentation of each algorithm describes the basic algorithm flow in detail, complete with graphical illustrations. Pseudocode implementations are also included for many of the methods, and definitions are supplied for terms which may be unfamiliar to the novice reader. Supporting a clear and intuitive tutorial style, the usage of mathematics is kept to a minimum. Topics and features: presents example algorithms covering global approaches, transformation-search-based methods, geometrical model driven methods, 3D object recognition schemes, flexible contour fitting algorithms, and descriptor-based methods; explores each method in its entirety, rather than focusing on individual steps in isolation, with a detailed description of the flow of each algorithm, including graphical illustrations; explains the important concepts at length in a simple-to-understand style, with a minimum usage of mathematics; discusses a broad spectrum of applications, including some examples from commercial products; contains appendices discussing topics related to OR and widely used in the algorithms, (but not at the core of the methods described in the chapters). Practitioners of industrial image processing will find this simple introduction and overview to OR a valuable reference, as will graduate students in computer vision courses. Marco Treiber is a software developer at Siemens Electronics Assembly Systems, Munich, Germany, where he is Technical Lead in Image Processing for the Vision System of SiPlace placement machines, used in SMT assembly.

Object Recognition by Computer

William Eric Leifur Grimson
Object Recognition by Computer Book PDF

Author : William Eric Leifur Grimson
Publisher : Mit Press
Page : 532 pages
File Size : 42,8 Mb
Release : 2003-02-01
Category : Computers
ISBN : 0262571889

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Object Recognition by Computer by William Eric Leifur Grimson Pdf

This book describes an extended series of experiments into the role of geometry in the critical area of object recognition.

Visual Object Recognition

Kristen Grauman,Bastian Leibe
Visual Object Recognition Book PDF

Author : Kristen Grauman,Bastian Leibe
Publisher : Morgan & Claypool Publishers
Page : 184 pages
File Size : 48,6 Mb
Release : 2011
Category : Computers
ISBN : 9781598299687

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Visual Object Recognition by Kristen Grauman,Bastian Leibe Pdf

The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / Conclusions

Toward Category-Level Object Recognition

Jean Ponce,Martial Hebert,Cordelia Schmid,Andrew Zisserman
Toward Category Level Object Recognition Book PDF

Author : Jean Ponce,Martial Hebert,Cordelia Schmid,Andrew Zisserman
Publisher : Springer
Page : 622 pages
File Size : 47,8 Mb
Release : 2007-01-25
Category : Computers
ISBN : 9783540687955

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Toward Category-Level Object Recognition by Jean Ponce,Martial Hebert,Cordelia Schmid,Andrew Zisserman Pdf

This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.

Object Recognition

M. Bennamoun,G.J. Mamic
Object Recognition Book PDF

Author : M. Bennamoun,G.J. Mamic
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 51,7 Mb
Release : 2001-12-12
Category : Computers
ISBN : 1852333987

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Object Recognition by M. Bennamoun,G.J. Mamic Pdf

Automatie object recognition is a multidisciplinary research area using con cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines. The purpose of this research is to provide a set of coherent paradigms and algorithms for the purpose of designing systems that will ultimately emulate the functions performed by the Human Visual System (HVS). Hence, such systems should have the ability to recognise objects in two or three dimensions independently of their positions, orientations or scales in the image. The HVS is employed for tens of thousands of recognition events each day, ranging from navigation (through the recognition of landmarks or signs), right through to communication (through the recognition of characters or people themselves). Hence, the motivations behind the construction of recognition systems, which have the ability to function in the real world, is unquestionable and would serve industrial (e.g. quality control), military (e.g. automatie target recognition) and community needs (e.g. aiding the visually impaired). Scope, Content and Organisation of this Book This book provides a comprehensive, yet readable foundation to the field of object recognition from which research may be initiated or guided. It repre sents the culmination of research topics that I have either covered personally or in conjunction with my PhD students. These areas include image acqui sition, 3-D object reconstruction, object modelling, and the matching of ob jects, all of which are essential in the construction of an object recognition system.

Object Recognition

M. Bennamoun,G.J. Mamic
Object Recognition Book PDF

Author : M. Bennamoun,G.J. Mamic
Publisher : Springer Science & Business Media
Page : 352 pages
File Size : 45,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447137221

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Object Recognition by M. Bennamoun,G.J. Mamic Pdf

Automatie object recognition is a multidisciplinary research area using con cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines. The purpose of this research is to provide a set of coherent paradigms and algorithms for the purpose of designing systems that will ultimately emulate the functions performed by the Human Visual System (HVS). Hence, such systems should have the ability to recognise objects in two or three dimensions independently of their positions, orientations or scales in the image. The HVS is employed for tens of thousands of recognition events each day, ranging from navigation (through the recognition of landmarks or signs), right through to communication (through the recognition of characters or people themselves). Hence, the motivations behind the construction of recognition systems, which have the ability to function in the real world, is unquestionable and would serve industrial (e.g. quality control), military (e.g. automatie target recognition) and community needs (e.g. aiding the visually impaired). Scope, Content and Organisation of this Book This book provides a comprehensive, yet readable foundation to the field of object recognition from which research may be initiated or guided. It repre sents the culmination of research topics that I have either covered personally or in conjunction with my PhD students. These areas include image acqui sition, 3-D object reconstruction, object modelling, and the matching of ob jects, all of which are essential in the construction of an object recognition system.

Deep Learning for Computer Vision

Jason Brownlee
Deep Learning for Computer Vision Book PDF

Author : Jason Brownlee
Publisher : Machine Learning Mastery
Page : 564 pages
File Size : 45,8 Mb
Release : 2019-04-04
Category : Computers
ISBN : 8210379456XXX

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Deep Learning for Computer Vision by Jason Brownlee Pdf

Step-by-step tutorials on deep learning neural networks for computer vision in python with Keras.

Computer Vision -- ACCV 2007

Yasushi Yagi,Sing Bing Kang,In So Kweon,Hongbin Zha
Computer Vision ACCV 2007 Book PDF

Author : Yasushi Yagi,Sing Bing Kang,In So Kweon,Hongbin Zha
Publisher : Springer
Page : 964 pages
File Size : 55,9 Mb
Release : 2007-11-14
Category : Computers
ISBN : 9783540763864

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Computer Vision -- ACCV 2007 by Yasushi Yagi,Sing Bing Kang,In So Kweon,Hongbin Zha Pdf

This title is part of a two volume set that constitutes the refereed proceedings of the 8th Asian Conference on Computer Vision, ACCV 2007. Coverage in this volume includes shape and texture, face and gesture, camera networks, face/gesture/action detection and recognition, learning, motion and tracking, human pose estimation, matching, face/gesture/action detection and recognition, low level vision and phtometory, motion and tracking, human detection, and segmentation.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities

Chakraborty, Shouvik,Mali, Kalyani
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition Emerging Research and Opportunities Book PDF

Author : Chakraborty, Shouvik,Mali, Kalyani
Publisher : IGI Global
Page : 271 pages
File Size : 51,9 Mb
Release : 2020-03-13
Category : Computers
ISBN : 9781799827382

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Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities by Chakraborty, Shouvik,Mali, Kalyani Pdf

Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.

Advanced Topics in Computer Vision

Giovanni Maria Farinella,Sebastiano Battiato,Roberto Cipolla
Advanced Topics in Computer Vision Book PDF

Author : Giovanni Maria Farinella,Sebastiano Battiato,Roberto Cipolla
Publisher : Springer Science & Business Media
Page : 437 pages
File Size : 52,6 Mb
Release : 2013-09-24
Category : Computers
ISBN : 9781447155201

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Advanced Topics in Computer Vision by Giovanni Maria Farinella,Sebastiano Battiato,Roberto Cipolla Pdf

This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.

Object Detection and Recognition in Digital Images

Boguslaw Cyganek
Object Detection and Recognition in Digital Images Book PDF

Author : Boguslaw Cyganek
Publisher : John Wiley & Sons
Page : 518 pages
File Size : 40,9 Mb
Release : 2013-05-20
Category : Science
ISBN : 9781118618363

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Object Detection and Recognition in Digital Images by Boguslaw Cyganek Pdf

Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. Places an emphasis on tensor and statistical based approaches within object detection and recognition. Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. Contains numerous case study examples of mainly automotive applications. Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

Deep Learning for Computer Vision

Rajalingappaa Shanmugamani
Deep Learning for Computer Vision Book PDF

Author : Rajalingappaa Shanmugamani
Publisher : Packt Publishing Ltd
Page : 304 pages
File Size : 51,7 Mb
Release : 2018-01-23
Category : Computers
ISBN : 9781788293358

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Deep Learning for Computer Vision by Rajalingappaa Shanmugamani Pdf

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks Key Features Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and more Includes tips on optimizing and improving the performance of your models under various constraints Book Description Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation. What you will learn Set up an environment for deep learning with Python, TensorFlow, and Keras Define and train a model for image and video classification Use features from a pre-trained Convolutional Neural Network model for image retrieval Understand and implement object detection using the real-world Pedestrian Detection scenario Learn about various problems in image captioning and how to overcome them by training images and text together Implement similarity matching and train a model for face recognition Understand the concept of generative models and use them for image generation Deploy your deep learning models and optimize them for high performance Who this book is for This book is targeted at data scientists and Computer Vision practitioners who wish to apply the concepts of Deep Learning to overcome any problem related to Computer Vision. A basic knowledge of programming in Python—and some understanding of machine learning concepts—is required to get the best out of this book.

Integrating Graphics and Vision for Object Recognition

Mark R. Stevens,J. Ross Beveridge
Integrating Graphics and Vision for Object Recognition Book PDF

Author : Mark R. Stevens,J. Ross Beveridge
Publisher : Springer Science & Business Media
Page : 190 pages
File Size : 50,7 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9781475755244

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Integrating Graphics and Vision for Object Recognition by Mark R. Stevens,J. Ross Beveridge Pdf

Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sides of the same coin. In graphics, algorithms are given knowledge about the world in the form of models, cameras, lighting, etc., and infer (or render) an image of a scene. In vision, the process is the exact opposite: algorithms are presented with an image, and infer (or interpret) the configuration of the world. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis. Features of the book include: Many illustrations to supplement the text; A novel approach to the integration of graphics and vision; Genetic algorithms for vision; Innovations in closed loop object recognition. Integrating Graphics and Vision for Object Recognition will be of interest to research scientists and practitioners working in fields related to the topic. It may also be used as an advanced-level graduate text.

2D Object Detection and Recognition

Yali Amit
2D Object Detection and Recognition Book PDF

Author : Yali Amit
Publisher : MIT Press
Page : 334 pages
File Size : 53,9 Mb
Release : 2002
Category : Computers
ISBN : 0262011948

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2D Object Detection and Recognition by Yali Amit Pdf

A guide to the computer detection and recognition of 2D objects in gray-level images.

Deep Learning in Object Detection and Recognition

Xiaoyue Jiang,Abdenour Hadid,Yanwei Pang,Eric Granger,Xiaoyi Feng
Deep Learning in Object Detection and Recognition Book PDF

Author : Xiaoyue Jiang,Abdenour Hadid,Yanwei Pang,Eric Granger,Xiaoyi Feng
Publisher : Springer
Page : 128 pages
File Size : 46,7 Mb
Release : 2018-09-11
Category : Computers
ISBN : 9811051518

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Deep Learning in Object Detection and Recognition by Xiaoyue Jiang,Abdenour Hadid,Yanwei Pang,Eric Granger,Xiaoyi Feng Pdf

This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks.