Computer Vision Research Progress
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| Author | : Zhongkai Zhu |
| Publisher | : Nova Publishers |
| Total Pages | : 358 |
| Release | : 2008 |
| Genre | : Computers |
| ISBN | : 9781600219924 |
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.
| Author | : Alvaro Pardo |
| Publisher | : Springer |
| Total Pages | : 795 |
| Release | : 2015-10-24 |
| Genre | : Computers |
| ISBN | : 331925751X |
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.
| Author | : Charles Z. Liu |
| Publisher | : Nova Science Publishers |
| Total Pages | : 370 |
| Release | : 2020-04 |
| Genre | : Computers |
| ISBN | : 9781536172591 |
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.
| Author | : Meikang Qiu |
| Publisher | : Springer Nature |
| Total Pages | : 732 |
| Release | : 2020-09-29 |
| Genre | : Mathematics |
| ISBN | : 3030602397 |
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.
| Author | : Pendyala, Vishnu S. |
| Publisher | : IGI Global |
| Total Pages | : 307 |
| Release | : 2022-06-24 |
| Genre | : Computers |
| ISBN | : 1668440474 |
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.
| Author | : Hugo Jair Escalante |
| Publisher | : Springer |
| Total Pages | : 305 |
| Release | : 2018-11-29 |
| Genre | : Computers |
| ISBN | : 3319981315 |
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
| Author | : Chi Hau Chen |
| Publisher | : World Scientific |
| Total Pages | : 1045 |
| Release | : 1999-03-12 |
| Genre | : Computers |
| ISBN | : 9814497649 |
The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.
| Author | : Yanio Hernández Heredia |
| Publisher | : Springer |
| Total Pages | : 446 |
| Release | : 2021-11-04 |
| Genre | : Computers |
| ISBN | : 9783030896904 |
This book constitutes the refereed proceedings of the 7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, held in Havana, Cuba, in October 2021. The 42 full papers presented were carefully reviewed and selected from 73 submissions. The papers promote and disseminate ongoing research on mathematical methods and computing techniques for artificial intelligence and pattern recognition, in particular in bioinformatics, cognitive and humanoid vision, computer vision, image analysis and intelligent data analysis.
| Author | : Rajeev Srivastava |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2014 |
| Genre | : Computer vision |
| ISBN | : 9781466645585 |
"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"--
| Author | : Frederik Arno |
| Publisher | : Nova Biomedical Books |
| Total Pages | : 0 |
| Release | : 2017 |
| Genre | : Medical |
| ISBN | : 9781536127614 |
Tania Martín-Pérez, Ángel Criado-Fornelio, Manuel Ávila-Blanco, and Jorge Pérez-Serrano begin this book by reviewing studies that propose species identification should be established on complete gene sequence rather than small fragments that might be unreliable. Afterwards, Eva García Millán, Ana Castro-Balado, Anxo Fernández-Ferreiro, and Francisco J. Otero-Espinar suggest that soft contact lenses have potential to be used as drug delivery systems by way of a medicated lens. Next, Maria J Giraldez, Ph.D., Carlos Garcia-Resua, Ph.D., and Eva Yebra-Pimentel, Ph.D. examine the properties of contact lenses in order to determine a means of reducing microbial contamination. Pablo J Franco, Pablo H Sande, Florencia González Fleitas, Julián D Devouassoux, Georgia Milnes, Hernán H Dieguez, Marcos L Aranda, Damián Dorfman, and Ruth E. Rosenstein present research that shows biologic treatments could be used in uveitis treatment. Following this, Rodrigo Mora-Martínez and Ernesto Suaste-Gómez, Ph.D. explore the impact of chromatic stimuli on various pupillary phenomena to reveal divergences between separate chromaticities. Frederick R Burgess and Roly Megaw provide an overview of the known literature on mesenchymal stem cells physiology. Then, David Lozano Giral, MD, Enrique Graue-Hernández, MD, and Alejandro Navas MD, Ph.D. review the cornea and its properties. Sivan M Elyashiv and Richard B Rosencompare in face OCT images with OCT angiograms in an effort to identify the level of capillary dropout, remodelling, and the development of neo-vascularisation.
