Object Recognition

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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 : 48,6 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.

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 : 47,6 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.

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 : 43,5 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.

Handbook of Object Novelty Recognition

Anonim
Handbook of Object Novelty Recognition Book PDF

Author : Anonim
Publisher : Academic Press
Page : 600 pages
File Size : 43,7 Mb
Release : 2018-11-16
Category : Science
ISBN : 9780128120149

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Handbook of Object Novelty Recognition by Anonim Pdf

Handbook of Object Novelty Recognition, Volume 26, synthesizes the empirical and theoretical advances in the field of object recognition and memory that have occurred since the development of the spontaneous object recognition task. The book is divided into four sections, covering vision and perception of object features and attributions, definitions of concepts that are associated with object recognition, the influence of brain lesions and drugs on various memory functions and processes, and models of neuropsychiatric disorders based on spontaneous object recognition tasks. A final section covers genetic and developmental studies and gender and hormone studies. Details the brain structures and the neural circuits that underlie memory of objects, including vision and olfaction Provides a thorough description of the object novelty recognition task, variations on the basic task, and methods and techniques to help researchers avoid common pitfalls Assists researchers in understanding all aspects of object memory, conducting object novelty recognition tests, and producing reliable, reproducible results

Object Recognition in Man, Monkey, and Machine

Michael J. Tarr,Heinrich H. Bulthoff
Object Recognition in Man Monkey and Machine Book PDF

Author : Michael J. Tarr,Heinrich H. Bulthoff
Publisher : MIT Press
Page : 228 pages
File Size : 47,5 Mb
Release : 1999-03-15
Category : Psychology
ISBN : 0262700700

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Object Recognition in Man, Monkey, and Machine by Michael J. Tarr,Heinrich H. Bulthoff Pdf

The contributors bring a wide range of methodologies to bear on the common problem of image-based object recognition. These interconnected essays on three-dimensional visual object recognition present cutting-edge research by some of the most creative neuroscientific, cognitive, and computational scientists in the field. Cassandra Moore and Patrick Cavanagh take a classic demonstration, the perception of "two-tone" images, and turn it into a method for understanding the nature of object representations in terms of surfaces and the interaction between bottom-up and top-down processes. Michael J. Tarr and Isabel Gauthier use computer graphics to study whether viewpoint-dependent recognition mechanisms can generalize between exemplars of perceptually defined classes. Melvyn A. Goodale and G. Keith Humphrey use innovative psychophysical techniques to investigate dissociable aspects of visual and spatial processing in brain-injured subjects. D.I. Perrett, M.W. Oram, and E. Ashbridge combine neurophysiological single-cell data from monkeys with computational analyses for a new way of thinking about the mechanisms that mediate viewpoint-dependent object recognition and mental rotation. Shimon Ullman also addresses possible mechanisms to account for viewpoint-dependent behavior, but from the perspective of machine vision. Finally, Philippe G. Schyns synthesizes work from many areas, to provide a coherent account of how stimulus class and recognition task interact. The contributors bring a wide range of methodologies to bear on the common problem of image-based object recognition.

Deep learning approaches for object recognition in plant diseases: a review

Zimo Zhou ,Yue Zhang, Zhaohui Gu,Simon X. Yang
Deep learning approaches for object recognition in plant diseases a review Book PDF

Author : Zimo Zhou ,Yue Zhang, Zhaohui Gu,Simon X. Yang
Publisher : OAE Publishing Inc.
Page : 24 pages
File Size : 41,8 Mb
Release : 2023-10-28
Category : Computers
ISBN : 8210379456XXX

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Deep learning approaches for object recognition in plant diseases: a review by Zimo Zhou ,Yue Zhang, Zhaohui Gu,Simon X. Yang Pdf

Plant diseases pose a significant threat to the economic viability of agriculture and the normal functioning of trees in forests. Accurate detection and identification of plant diseases are crucial for smart agricultural and forestry management. Artificial intelligence has been successfully applied to agriculture in recent years. Many intelligent object recognition algorithms, specifically deep learning approaches, have been proposed to identify diseases in plant images. The goal is to reduce labor and improve detection efficiency. This article reviews the application of object detection methods for detecting common plant diseases, such as tomato, citrus, maize, and pine trees. It introduces various object detection models, ranging from basic to modern and sophisticated networks, and compares the innovative aspects and drawbacks of commonly used neural network models. Furthermore, the article discusses current challenges in plant disease detection and object detection methods and suggests promising directions for future work in learning-based plant disease detection systems.

Epipolar Geometry in Stereo, Motion and Object Recognition

Gang Xu,Zhengyou Zhang
Epipolar Geometry in Stereo Motion and Object Recognition Book PDF

Author : Gang Xu,Zhengyou Zhang
Publisher : Springer Science & Business Media
Page : 327 pages
File Size : 42,9 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9789401586689

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Epipolar Geometry in Stereo, Motion and Object Recognition by Gang Xu,Zhengyou Zhang Pdf

Appendix 164 3. A 3. A. 1 Approximate Estimation of Fundamental Matrix from General Matrix 164 3. A. 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 1 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 2. 1 Overlap of Two Corresponding Line Segments 173 Estimating Motion by Maximizing Overlap 175 4. 2. 2 Implementation Details 4. 2. 3 176 Reconstructing 3D Line Segments 4. 2. 4 179 4. 2. 5 Experimental Results 180 4. 2. 6 Discussions 192 4. 3 Determining Epipolar Geometry of Three Views 194 4. 3. 1 Trifocal Constraints for Point Matches 194 4. 3. 2 Trifocal Constraints for Line Correspondences 199 4. 3. 3 Linear Estimation of K, L, and M Using Points and Lines 200 4. 3. 4 Determining Camera Projection Matrices 201 4. 3. 5 Image Transfer 203 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5. 1 Conventional Approaches to Stereo, Motion and Object Recognition 205 5. 1. 1 Stereo 205 5. 1. 2 Motion 206 5. 1. 3 Object Recognition 207 5. 2 Correspondence in Stereo, Motion and Object Recognition as 1D Search 209 5. 2. 1 Stereo Matching 209 xi Contents 5. 2. 2 Motion Correspondence and Segmentation 209 5. 2. 3 3D Object Recognition and Localization 210 Disparity and Spatial Disparity Space 210 5.

Time-Varying Image Processing and Moving Object Recognition, 4

V. Cappellini
Time Varying Image Processing and Moving Object Recognition 4 Book PDF

Author : V. Cappellini
Publisher : Elsevier
Page : 332 pages
File Size : 40,5 Mb
Release : 1997-07-25
Category : Computers
ISBN : 0080543065

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Time-Varying Image Processing and Moving Object Recognition, 4 by V. Cappellini Pdf

New digital image processing and recognition methods, implementation techniques and advanced applications (television, remote sensing, biomedicine, traffic, inspection, robotics, etc.) are presented in this volume. Novel approaches (i.e. digital filters, source coding, neural networks etc.) for solving 2-D and 3-D problems are described. Many papers focus on the motion estimation and tracking recognition of moving objects. The increasingly important field of Cultural Heritage is also covered. Some papers are more theoretical or of review nature, while others contain new implementations and applications. Generally the book presents - for the above outlined area - the state of the art (theory, implementation, applications) with future trends. This book will be of interest not only to researchers, professors and students in university departments of engineering, communications, computers and automatic control, but also to engineers and managers of industries concerned with computer vision, manufacturing, automation, robotics and quality control.

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 : 41,8 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.

Visual Object Recognition

Kristen Thielscher,Bastian Chernova
Visual Object Recognition Book PDF

Author : Kristen Thielscher,Bastian Chernova
Publisher : Springer Nature
Page : 163 pages
File Size : 40,6 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031015533

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Visual Object Recognition by Kristen Thielscher,Bastian Chernova 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

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 : 51,6 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

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 : 54,8 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.

Three-Dimensional Object Recognition from Range Images

Minsoo Suk,Suchendra M. Bhandarkar
Three Dimensional Object Recognition from Range Images Book PDF

Author : Minsoo Suk,Suchendra M. Bhandarkar
Publisher : Springer Science & Business Media
Page : 318 pages
File Size : 40,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9784431682134

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Three-Dimensional Object Recognition from Range Images by Minsoo Suk,Suchendra M. Bhandarkar Pdf

Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. T08iyasu L. Kunii PREFACE The primary aim of this book is to present a coherent and self-contained de scription of recent advances in three-dimensional object recognition from range images. Three-dimensional object recognition concerns recognition and localiza tion of objects of interest in a scene from input images. This problem is one of both theoretical and practical importance. On the theoretical side, it is an ideal vehicle for the study of the general area of computer vision since it deals with several important issues encountered in computer vision-for example, issues such as feature extraction, acquisition, representation and proper use of knowl edge, employment of efficient control strategies, coupling numerical and symbolic computations, and parallel implementation of algorithms. On the practical side, it has a wide range of applications in areas such as robot vision, autonomous navigation, automated inspection of industrial parts, and automated assembly.

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 : 45,7 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.

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 : 0 pages
File Size : 52,9 Mb
Release : 2020-11-27
Category : Computers
ISBN : 9811506515

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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.