Computer Vision Research Progress

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Publisher : Nova Publishers
ISBN 13 : 9781600219924
Total Pages : 358 pages
Book Rating : 4.2/5 (199 download)

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Book Synopsis Computer Vision Research Progress by : Zhongkai Zhu

Download or read book Computer Vision Research Progress written by Zhongkai Zhu and published by Nova Publishers. This book was released on 2008 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Examples of applications of computer vision systems include systems for controlling processes (e.g. an industrial robot or an autonomous vehicle). Detecting events (e.g. for visual surveillance). Organizing information (e.g. for indexing databases of images and image sequences), Modeling objects or environments (e.g. industrial inspection, medical image analysis or topographical modeling), Interaction (e.g. as the input to a device for computer-human interaction). Computer vision can also be described as a complement (but not necessarily the opposite) of biological vision. In biological vision, the visual perception of humans and various animals are studied, resulting in models of how these systems operate in terms of physiological processes. Computer vision, on the other hand, studies and describes artificial vision system that are implemented in software and/or hardware. Interdisciplinary exchange between biological and computer vision has proven increasingly fruitful for both fields. Sub-domains of computer vision include scene reconstruction, event detection, tracking, object recognition, learning, indexing, ego-motion and image restoration. This new book presents leading-edge new research from around the world.

An Overview of Computer Vision Research at SRI International

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (66 download)

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Book Synopsis An Overview of Computer Vision Research at SRI International by : Martin A. Fischler

Download or read book An Overview of Computer Vision Research at SRI International written by Martin A. Fischler and published by . This book was released on 1989 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Progress In Computer Vision And Image Analysis

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Publisher : World Scientific
ISBN 13 : 981446998X
Total Pages : 591 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Progress In Computer Vision And Image Analysis by : Horst Bunke

Download or read book Progress In Computer Vision And Image Analysis written by Horst Bunke and published by World Scientific. This book was released on 2009-08-26 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of scientific papers published during the last five years, showing a broad spectrum of actual research topics and techniques used to solve challenging problems in the areas of computer vision and image analysis. The book will appeal to researchers, technicians and graduate students.

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

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Publisher : Springer
ISBN 13 : 331925751X
Total Pages : 795 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Alvaro Pardo

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Alvaro Pardo and published by Springer. This book was released on 2015-10-24 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval; image coding, processing and analysis; segmentation, analysis of shape and texture; signals analysis and processing; theory of pattern recognition; video analysis, segmentation and tracking.

Algorithms and Architectures for Parallel Processing

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Publisher : Springer Nature
ISBN 13 : 3030602397
Total Pages : 732 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Algorithms and Architectures for Parallel Processing by : Meikang Qiu

Download or read book Algorithms and Architectures for Parallel Processing written by Meikang Qiu and published by Springer Nature. This book was released on 2020-09-29 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNCS 12452, 12453, and 12454 constitutes the proceedings of the 20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020, in New York City, NY, USA, in October 2020. The total of 142 full papers and 5 short papers included in this proceedings volumes was carefully reviewed and selected from 495 submissions. ICA3PP is covering the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated in every aspects of daily life, the power of computing system has become increasingly critical. This conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of computing systems and applications. ICA3PP 2020 focus on two broad areas of parallel and distributed computing, i.e. architectures, algorithms and networks, and systems and applications.

Progress in Computer Vision at the University of Massachusetts

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Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (256 download)

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Book Synopsis Progress in Computer Vision at the University of Massachusetts by : Allen R. Hanson

Download or read book Progress in Computer Vision at the University of Massachusetts written by Allen R. Hanson and published by . This book was released on 1989 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This report summarizes progress in image understanding research at the University of Massachusetts over the past year. Many of the individual efforts discussed in this paper are further developed in other papers in this proceedings. The summary is organized into several areas: 1. Mobile Robot Navigation 2. Motion and Stereo Processing 3. Knowledge-Based Interpretation of Static Scenes 4. Image Understanding Architecture. The research program in computer vision at UMass has as one of its goals the integration of a diverse set of research efforts into a system that is ultimately intended to achieve real-time image interpretation in a variety of vision applications."

Deep Learning to See

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Publisher : Springer Nature
ISBN 13 : 3030909875
Total Pages : 116 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Deep Learning to See by : Alessandro Betti

Download or read book Deep Learning to See written by Alessandro Betti and published by Springer Nature. This book was released on 2022-04-26 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature. This work poses fundamental questions about vision that remain far from understood, leading the reader on a journey populated by novel challenges resonating with the foundations of machine learning. The central thesis proposed is that for a deeper understanding of visual computational processes, it is necessary to look beyond the applications of general purpose machine learning algorithms, and focus instead on appropriate learning theories that take into account the spatiotemporal nature of the visual signal. Serving to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions. As such, it will be of great benefit to graduate and advanced undergraduate students in computer science, computational neuroscience, physics, and other related disciplines.

Explainable and Interpretable Models in Computer Vision and Machine Learning

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Publisher : Springer
ISBN 13 : 3319981315
Total Pages : 305 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Explainable and Interpretable Models in Computer Vision and Machine Learning by : Hugo Jair Escalante

Download or read book Explainable and Interpretable Models in Computer Vision and Machine Learning written by Hugo Jair Escalante and published by Springer. This book was released on 2018-11-29 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations

Image Recognition

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Publisher : Nova Science Publishers
ISBN 13 : 9781536172591
Total Pages : 370 pages
Book Rating : 4.1/5 (725 download)

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Book Synopsis Image Recognition by : Charles Z. Liu

Download or read book Image Recognition written by Charles Z. Liu and published by Nova Science Publishers. This book was released on 2020-04 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on research trends in image processing and recognition and corresponding developments. Among them, the book focuses on recent research, especially in the field of advanced human-computer interaction and intelligent computing. Given the existing interaction and recognition of the station, some novel topics are proposed, including how to establish a cognitive model in human-computer interaction and how to express and transfer human knowledge into human-machine image recognition. In an interactive implementation, how to implement user experience through image recognition during machine interaction.The main contents of this book are arranged as follows. Chapter 1 introduces the research background, research questions, goals, research questions and overviews of this book. Chapter 2 focuses on image calculation methods based on principal component analysis (PCA) and related extensions. Chapter 3 presents an image processing scheme that takes into account the user experience and the optimal balance between QoE and QoS management. Chapter 4 focuses on the performance analysis of methods for classifying image textures based on local binary patterns. Chapter 5 introduces the generation of the anti-network (GAN) and its methods. Chapter 6 mainly discusses the recognition of the interest target as the visual consciousness of the image computing system and proposes a fuzzy target-based interest target differentiation system, which is applied to the extinction enhancement as a display.Chapter 7 focuses on the implementation and application of PCA image processing and its application in computer vision in the fields of image compression, visual tracking, image recognition, and super-resolution image reconstruction. Chapter 8 introduces various applications of feature extraction and classification techniques in seizures. Chapter 9 introduces some typical image processing based on GAN, involving multiple fields. Chapter 10 introduces an agent-based collaborative information processing framework with stereo vision applications. Chapter 11 introduces the MR application system as a synthesis of the methods and algorithms in each of the above chapters and discusses system design and implementation in terms of functions, modules, and workflows. Chapter 12 evaluates the book, draws conclusions, and proposes advances in image recognition and its advances in image recognition, limitations, and future work, and applies them to intelligent HCI in system design. Objects, human knowledge and user experience, QoE-QoS management, system management, and confidentiality and security.

Research Developments in Computer Vision and Image Processing

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Publisher :
ISBN 13 : 9781466645585
Total Pages : 0 pages
Book Rating : 4.6/5 (455 download)

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Book Synopsis Research Developments in Computer Vision and Image Processing by : Rajeev Srivastava

Download or read book Research Developments in Computer Vision and Image Processing written by Rajeev Srivastava and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book brings together various research methodologies and trends in emerging areas of application of computer vision and image processing for those interested in the research developments of this rapidly growing field"--

Quantum Computing

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Publisher : National Academies Press
ISBN 13 : 030947969X
Total Pages : 273 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Quantum Computing by : National Academies of Sciences, Engineering, and Medicine

Download or read book Quantum Computing written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-04-27 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum mechanics, the subfield of physics that describes the behavior of very small (quantum) particles, provides the basis for a new paradigm of computing. First proposed in the 1980s as a way to improve computational modeling of quantum systems, the field of quantum computing has recently garnered significant attention due to progress in building small-scale devices. However, significant technical advances will be required before a large-scale, practical quantum computer can be achieved. Quantum Computing: Progress and Prospects provides an introduction to the field, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing real-world problems. This report considers hardware and software requirements, quantum algorithms, drivers of advances in quantum computing and quantum devices, benchmarks associated with relevant use cases, the time and resources required, and how to assess the probability of success.

Machine Learning for Societal Improvement, Modernization, and Progress

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Publisher : IGI Global
ISBN 13 : 1668440474
Total Pages : 307 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Machine Learning for Societal Improvement, Modernization, and Progress by : Pendyala, Vishnu S.

Download or read book Machine Learning for Societal Improvement, Modernization, and Progress written by Pendyala, Vishnu S. and published by IGI Global. This book was released on 2022-06-24 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning has been fundamental to the growth and evolution of humanity and civilization. The same concepts of learning, applied to the tasks that machines can perform, are having a similar effect now. Machine learning is evolving computation and its applications like never before. It is now widely recognized that machine learning is playing a similar role to electricity in the late 19th and early 20th centuries in modernizing the world. From simple high school science projects to large-scale radio astronomy, machine learning has revolutionized it all—however, a few of the applications clearly stand out as transforming the world and opening up a new era. Machine Learning for Societal Improvement, Modernization, and Progress showcases the path-breaking applications of machine learning that are leading to the next generation of computing and living standards. The focus of the book is machine learning and its application to specific domains, which is resulting in substantial civilizational progress. Covering topics such as lifespan prediction, smart transportation networks, and socio-economic data, this premier reference source is a dynamic resource for data scientists, industry leaders, practitioners, students and faculty of higher education, sociologists, researchers, and academicians.

Computer and Computing Technologies in Agriculture VI

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Publisher : Springer
ISBN 13 : 3642361374
Total Pages : 504 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Computer and Computing Technologies in Agriculture VI by : Daoliang Li

Download or read book Computer and Computing Technologies in Agriculture VI written by Daoliang Li and published by Springer. This book was released on 2013-02-26 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set IFIP AICT 392 and 393 constitutes the refereed post-conference proceedings of the 6th IFIP TC 5, SIG 5.1 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2012, held in Zhangjiajie, China, in October 2012. The 108 revised papers presented were carefully selected from numerous submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including Internet of things and cloud computing; simulation models and decision-support systems for agricultural production; smart sensor, monitoring, and control technology; traceability and e-commerce technology; computer vision, computer graphics, and virtual reality; the application of information and communication technology in agriculture; and universal information service technology and service systems development in rural areas. The 55 papers included in the second volume focus on GIS, GPS, RS, and Precision Farming.

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

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Publisher : Springer
ISBN 13 : 331975193X
Total Pages : 748 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Marcelo Mendoza

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Marcelo Mendoza and published by Springer. This book was released on 2018-02-09 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017, held in Valparaíso, Chile, in November 2017. The 87 papers presented were carefully reviewed and selected from 156 submissions. The papers feature research results in the areas of pattern recognition, image processing, computer vision, multimedia and related fields.

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

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Publisher : Springer Science & Business Media
ISBN 13 : 3642102670
Total Pages : 1082 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Eduardo Bayro Corrochano

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Eduardo Bayro Corrochano and published by Springer Science & Business Media. This book was released on 2009-10-26 with total page 1082 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th Iberoamerican Congress on Pattern Recognition, CIARP 2009, held in Guadalajara, Mexico, in November 2009. The 64 revised full papers presented together with 44 posters were carefully reviewed and selected from 187 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; geometric image processing and analysis; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; statistical pattern recognition; neural networks for pattern recognition; computer vision; video segmentation and tracking; robot vision; intelligent remote sensing, imagery research and discovery techniques; intelligent computing for remote sensing imagery; as well as intelligent fusion and classification techniques.

Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate

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Publisher : Springer Nature
ISBN 13 : 9811635870
Total Pages : 1524 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate by : Xinhai Lu

Download or read book Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate written by Xinhai Lu and published by Springer Nature. This book was released on 2021-10-11 with total page 1524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book focuses on innovation, cooperation, and sustainable development in the fields of construction management and real estate. The book provides a detailed analysis and description of the disciplinary frontiers in the field of building management and real estate and how they can be promoted in the context of the epidemic. A wide variety of papers provide a reference value for both scholars and practitioners. The proceedings book is the documentation of “the 25th International Symposium on Advancement of Construction Management and Real Estate” (CRIOCM 2020), which was held at the School of Public Administration, Central China Normal University, Wuhan, China, in 2020.

Recent Advances in Computer Vision

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Publisher : Springer
ISBN 13 : 3030030008
Total Pages : 430 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Recent Advances in Computer Vision by : Mahmoud Hassaballah

Download or read book Recent Advances in Computer Vision written by Mahmoud Hassaballah and published by Springer. This book was released on 2018-12-14 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.