Embedded Vision

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Embedded Computer Vision

Author : Branislav Kisacanin,Shuvra S. Bhattacharyya,Sek Chai
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 41,7 Mb
Release : 2008-09-26
Category : Computers
ISBN : 9781848003040

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Embedded Computer Vision by Branislav Kisacanin,Shuvra S. Bhattacharyya,Sek Chai Pdf

As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students. They had designed and built an early frame-grabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a mini-computer (sic) with a (huge!) disk drive—about the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a user’s guide, to facilitate designing software for this one-of-a-kindprocessor. The overall system enabled programmable real-time image processing at video rate for many operations. I had the whole lab to myself. I designed software that detected an object in the eldofview,trackeditsmovementsinrealtime,anddisplayedarunningdescription of the events in English. For example: “An object has appeared in the upper right corner...Itismovingdownandtotheleft...Nowtheobjectisgettingcloser...The object moved out of sight to the left”—about like that. The algorithms were simple, relying on a suf cient image intensity difference to separate the object from the background (a plain wall). From computer vision papers I had read, I knew that vision in general imaging conditions is much more sophisticated. But it worked, it was great fun, and I was hooked.

Advances in Embedded Computer Vision

Author : Branislav Kisačanin,Margrit Gelautz
Publisher : Springer
Page : 287 pages
File Size : 50,9 Mb
Release : 2014-11-26
Category : Computers
ISBN : 9783319093871

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Advances in Embedded Computer Vision by Branislav Kisačanin,Margrit Gelautz Pdf

This illuminating collection offers a fresh look at the very latest advances in the field of embedded computer vision. Emerging areas covered by this comprehensive text/reference include the embedded realization of 3D vision technologies for a variety of applications, such as stereo cameras on mobile devices. Recent trends towards the development of small unmanned aerial vehicles (UAVs) with embedded image and video processing algorithms are also examined. Topics and features: discusses in detail three major success stories – the development of the optical mouse, vision for consumer robotics, and vision for automotive safety; reviews state-of-the-art research on embedded 3D vision, UAVs, automotive vision, mobile vision apps, and augmented reality; examines the potential of embedded computer vision in such cutting-edge areas as the Internet of Things, the mining of large data streams, and in computational sensing; describes historical successes, current implementations, and future challenges.

Handbook of Machine and Computer Vision

Author : Alexander Hornberg
Publisher : John Wiley & Sons
Page : 848 pages
File Size : 41,5 Mb
Release : 2017-03-07
Category : Computers
ISBN : 9783527413430

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Handbook of Machine and Computer Vision by Alexander Hornberg Pdf

The second edition of this accepted reference work has been updated to reflect the rapid developments in the field and now covers both 2D and 3D imaging. Written by expert practitioners from leading companies operating in machine vision, this one-stop handbook guides readers through all aspects of image acquisition and image processing, including optics, electronics and software. The authors approach the subject in terms of industrial applications, elucidating such topics as illumination and camera calibration. Initial chapters concentrate on the latest hardware aspects, ranging from lenses and camera systems to camera-computer interfaces, with the software necessary discussed to an equal depth in later sections. These include digital image basics as well as image analysis and image processing. The book concludes with extended coverage of industrial applications in optics and electronics, backed by case studies and design strategies for the conception of complete machine vision systems. As a result, readers are not only able to understand the latest systems, but also to plan and evaluate this technology. With more than 500 images and tables to illustrate relevant principles and steps.

Machine Vision Algorithms and Applications

Author : Carsten Steger,Markus Ulrich,Christian Wiedemann
Publisher : John Wiley & Sons
Page : 533 pages
File Size : 48,5 Mb
Release : 2018-03-12
Category : Science
ISBN : 9783527413652

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Machine Vision Algorithms and Applications by Carsten Steger,Markus Ulrich,Christian Wiedemann Pdf

The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a discussion of new camera and image acquisition interfaces, 3D sensors and technologies, 3D reconstruction, 3D object recognition and state-of-the-art classification algorithms. The authors retain their balanced approach with sufficient coverage of the theory and a strong focus on applications. All examples are based on the latest version of the machine vision software HALCON 13.

Computer Vision -- ACCV 2007

Author : Yasushi Yagi,Sing Bing Kang,In So Kweon,Hongbin Zha
Publisher : Springer
Page : 964 pages
File Size : 50,5 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.

Computer Vision – ECCV 2020 Workshops

Author : Adrien Bartoli,Andrea Fusiello
Publisher : Springer Nature
Page : 752 pages
File Size : 53,7 Mb
Release : 2021-01-30
Category : Computers
ISBN : 9783030682385

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Computer Vision – ECCV 2020 Workshops by Adrien Bartoli,Andrea Fusiello Pdf

The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part V includes: The 16th Embedded Vision Workshop; Real-World Computer Vision from Inputs with Limited Quality (RLQ); The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2020); The Visual Object Tracking Challenge Workshop (VOT 2020); and Video Turing Test: Toward Human-Level Video Story Understanding.

Computer Vision in the Infrared Spectrum

Author : Michael Teutsch,Angel D. Sappa,Riad I. Hammoud
Publisher : Springer Nature
Page : 128 pages
File Size : 43,7 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031018268

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Computer Vision in the Infrared Spectrum by Michael Teutsch,Angel D. Sappa,Riad I. Hammoud Pdf

Human visual perception is limited to the visual-optical spectrum. Machine vision is not. Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous systems and visually perceive the environment in a holistic way. Relevant scene content can be made visible especially in situations, where sensors of other modalities face issues like a visual-optical camera that needs a source of illumination. As a consequence, not only human mistakes can be avoided by increasing the level of automation, but also machine-induced errors can be reduced that, for example, could make a self-driving car crash into a pedestrian under difficult illumination conditions. Furthermore, multi-spectral sensor systems with infrared imagery as one modality are a rich source of information and can provably increase the robustness of many autonomous systems. Applications that can benefit from utilizing infrared imagery range from robotics to automotive and from biometrics to surveillance. In this book, we provide a brief yet concise introduction to the current state-of-the-art of computer vision and machine learning in the infrared spectrum. Based on various popular computer vision tasks such as image enhancement, object detection, or object tracking, we first motivate each task starting from established literature in the visual-optical spectrum. Then, we discuss the differences between processing images and videos in the visual-optical spectrum and the various infrared spectra. An overview of the current literature is provided together with an outlook for each task. Furthermore, available and annotated public datasets and common evaluation methods and metrics are presented. In a separate chapter, popular applications that can greatly benefit from the use of infrared imagery as a data source are presented and discussed. Among them are automatic target recognition, video surveillance, or biometrics including face recognition. Finally, we conclude with recommendations for well-fitting sensor setups and data processing algorithms for certain computer vision tasks. We address this book to prospective researchers and engineers new to the field but also to anyone who wants to get introduced to the challenges and the approaches of computer vision using infrared images or videos. Readers will be able to start their work directly after reading the book supported by a highly comprehensive backlog of recent and relevant literature as well as related infrared datasets including existing evaluation frameworks. Together with consistently decreasing costs for infrared cameras, new fields of application appear and make computer vision in the infrared spectrum a great opportunity to face nowadays scientific and engineering challenges.

Computer Vision and Image Processing

Author : Balasubramanian Raman,Subrahmanyam Murala,Ananda Chowdhury,Abhinav Dhall,Puneet Goyal
Publisher : Springer Nature
Page : 616 pages
File Size : 55,6 Mb
Release : 2022-07-23
Category : Computers
ISBN : 9783031113468

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Computer Vision and Image Processing by Balasubramanian Raman,Subrahmanyam Murala,Ananda Chowdhury,Abhinav Dhall,Puneet Goyal Pdf

This two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International Conference on Computer Vision and Image Processing, CVIP 2021, held in Rupnagar, India, in December 2021. The 70 full papers and 20 short papers were carefully reviewed and selected from the 260 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.

Computer Vision and Internet of Things

Author : Lavanya Sharma,Mukesh Carpenter
Publisher : CRC Press
Page : 320 pages
File Size : 41,8 Mb
Release : 2022-05-20
Category : Computers
ISBN : 9781000570557

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Computer Vision and Internet of Things by Lavanya Sharma,Mukesh Carpenter Pdf

Computer Vision and Internet of Things: Technologies and Applications explores the utilization of Internet of Things (IoT) with computer vision and its underlying technologies in different applications areas. Using a series of present and future applications – including business insights, indoor-outdoor securities, smart grids, human detection and tracking, intelligent traffic monitoring, e-health departments, and medical imaging – this book focuses on providing a detailed description of the utilization of IoT with computer vision and its underlying technologies in critical application areas, such as smart grids, emergency departments, intelligent traffic cams, insurance, and the automotive industry. Key Features • Covers the challenging issues related to sensors, detection, and tracking of moving objects with solutions to handle relevant challenges • Describes the latest technological advances in IoT and computer vision with their implementations • Combines image processing and analysis into a unified framework to understand both IOT and computer vision applications • Explores mining and tracking of motion-based object data, such as trajectory prediction and prediction of a particular location of object data, and their critical applications • Provides novel solutions for medical imaging (skin lesion detection, cancer detection, enhancement techniques for MRI images, and automated disease prediction) This book is primarily aimed at graduates and researchers working in the areas of IoT, computer vision, big data, cloud computing, and remote sensing. It is also an ideal resource for IT professionals and technology developers.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : Ruben Vera-Rodriguez,Julian Fierrez,Aythami Morales
Publisher : Springer
Page : 1001 pages
File Size : 49,8 Mb
Release : 2019-03-02
Category : Computers
ISBN : 9783030134693

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by Ruben Vera-Rodriguez,Julian Fierrez,Aythami Morales Pdf

This book constitutes the refereed post-conference proceedings of the 23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018, held in Madrid, Spain, in November 2018 The 112 papers presented were carefully reviewed and selected from 187 submissions The program was comprised of 6 oral sessions on the following topics: machine learning, computer vision, classification, biometrics and medical applications, and brain signals, and also on: text and character analysis, human interaction, and sentiment analysis

Computer Vision: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2451 pages
File Size : 44,8 Mb
Release : 2018-02-02
Category : Computers
ISBN : 9781522552055

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Computer Vision: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Computer Vision and Graphics

Author : Leszek J. Chmielewski,Ryszard Kozera,Arkadiusz Orłowski,Konrad Wojciechowski,Alfred M. Bruckstein,Nicolai Petkov
Publisher : Springer
Page : 536 pages
File Size : 53,8 Mb
Release : 2018-09-13
Category : Computers
ISBN : 9783030006921

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Computer Vision and Graphics by Leszek J. Chmielewski,Ryszard Kozera,Arkadiusz Orłowski,Konrad Wojciechowski,Alfred M. Bruckstein,Nicolai Petkov Pdf

This book constitutes the refereed proceedings of the International Conference on Computer Vision and Graphics, ICCVG 2018, held in Warsaw, Poland, in September 2018. The 45 full papers were selected from 117 submissions. The contributions are thematically arranged as follows: computer graphics, image quality and graphic, user interfaces, object classification and features, 3D and stereo image processing, low-level and middle-level image processing, medical image analysis, motion analysis and tracking, security and protection, pattern recognition and new concepts in classification.

Computer Vision Using Local Binary Patterns

Author : Matti Pietikäinen,Abdenour Hadid,Guoying Zhao,Timo Ahonen
Publisher : Springer Science & Business Media
Page : 212 pages
File Size : 42,9 Mb
Release : 2011-06-21
Category : Mathematics
ISBN : 9780857297488

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Computer Vision Using Local Binary Patterns by Matti Pietikäinen,Abdenour Hadid,Guoying Zhao,Timo Ahonen Pdf

The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3D textures and spatiotemporal (dynamic) textures. Also, where texture was once utilized for applications such as remote sensing, industrial inspection and biomedical image analysis, the introduction of LBP-based approaches have provided outstanding results in problems relating to face and activity analysis, with future scope for face and facial expression recognition, biometrics, visual surveillance and video analysis. Computer Vision Using Local Binary Patterns provides a detailed description of the LBP methods and their variants both in spatial and spatiotemporal domains. This comprehensive reference also provides an excellent overview as to how texture methods can be utilized for solving different kinds of computer vision and image analysis problems. Source codes of the basic LBP algorithms, demonstrations, some databases and a comprehensive LBP bibliography can be found from an accompanying web site. Topics include: local binary patterns and their variants in spatial and spatiotemporal domains, texture classification and segmentation, description of interest regions, applications in image retrieval and 3D recognition - Recognition and segmentation of dynamic textures, background subtraction, recognition of actions, face analysis using still images and image sequences, visual speech recognition and LBP in various applications. Written by pioneers of LBP, this book is an essential resource for researchers, professional engineers and graduate students in computer vision, image analysis and pattern recognition. The book will also be of interest to all those who work with specific applications of machine vision.

Computer Vision Metrics

Author : Scott Krig
Publisher : Apress
Page : 498 pages
File Size : 41,7 Mb
Release : 2014-06-14
Category : Computers
ISBN : 9781430259305

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Computer Vision Metrics by Scott Krig Pdf

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 global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications. The survey is broader than it is deep, with over 540 references provided to dig deeper. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more. Rather than providing ‘how-to’ source code examples and shortcuts, this book provides a counterpoint discussion to the many fine opencv community source code resources available for hands-on practitioners.

Computer Vision – ECCV 2018 Workshops

Author : Laura Leal-Taixé,Stefan Roth
Publisher : Springer
Page : 719 pages
File Size : 48,8 Mb
Release : 2019-01-28
Category : Computers
ISBN : 9783030110123

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Computer Vision – ECCV 2018 Workshops by Laura Leal-Taixé,Stefan Roth Pdf

The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.