- Table View
- List View
Computer Vision, Pattern Recognition, Image Processing, and Graphics: 6th National Conference, Ncvpripg 2017, Mandi, India, December 16-19, 2017, Revised Selected Papers (Communications In Computer And Information Science #841)
by Renu Rameshan Chetan Arora Sumantra Dutta RoyThis book constitutes the refereed proceedings of the 6th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2017, held in Mandi, India, in December 2017. The 48 revised full papers presented in this volume were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on video processing; image and signal processing; segmentation, retrieval, captioning; pattern recognition applications.
Computer Vision, Pattern Recognition, Image Processing, and Graphics: 7th National Conference, NCVPRIPG 2019, Hubballi, India, December 22–24, 2019, Revised Selected Papers (Communications in Computer and Information Science #1249)
by R. Venkatesh Babu Mahadeva Prasanna Vinay P. NamboodiriThis book constitutes the refereed proceedings of the 7th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2019, held in Hubballi, India, in December 2019.The 55 revised full papers 3 short papers presented in this volume were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on vision and geometry, learning and vision, image processing and document analysis, detection and recognition.
Computer Vision, Pattern Recognition, Image Processing, and Graphics: Proceedings of the 8th National Conference, NCVPRIPG 2023 (Lecture Notes in Electrical Engineering #1218)
by Anoop M. Namboodiri Santanu Chaudhury Anand Mishra Dinesh Babu Jayagopi Neelam Sinha Rajendra NagarThis book constitutes the refereed proceedings of the 8th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2023. The papers presented in this volume were carefully reviewed and organized in topical sections on vision and geometry, learning and vision, image processing and document analysis, and detection and recognition.
Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective (Advances in Computer Vision and Pattern Recognition)
by Ananda S. Chowdhury Suchendra M. BhandarkarThis unique text/reference discusses in depth the two integral components of reconstructive surgery; fracture detection, and reconstruction from broken bone fragments. In addition to supporting its application-oriented viewpoint with detailed coverage of theoretical issues, the work incorporates useful algorithms and relevant concepts from both graph theory and statistics. Topics and features: presents practical solutions for virtual craniofacial reconstruction and computer-aided fracture detection; discusses issues of image registration, object reconstruction, combinatorial pattern matching, and detection of salient points and regions in an image; investigates the concepts of maximum-weight graph matching, maximum-cardinality minimum-weight matching for a bipartite graph, determination of minimum cut in a flow network, and construction of automorphs of a cycle graph; examines the techniques of Markov random fields, hierarchical Bayesian restoration, Gibbs sampling, and Bayesian inference.
Computer Vision: A Reference Guide
by Katsushi IkeuchiThis comprehensive reference provides easy access to relevant information on all aspects of Computer Vision. An A-Z format of over 240 entries offers a diverse range of topics for those seeking entry into any aspect within the broad field of Computer Vision. Over 200 Authors from both industry and academia contributed to this volume. Each entry includes synonyms, a definition and discussion of the topic, and a robust bibliography. Extensive cross-references to other entries support efficient, user-friendly searches for immediate access to relevant information Entries were peer-reviewed by a distinguished international advisory board, both scientifically and geographically diverse, ensuring balanced coverage. Over 3700 bibliographic references for further reading enable deeper exploration into any of the topics covered. The content of Computer Vision: A Reference Guide is expository and tutorial, making the book a practical resource for students who are considering entering the field, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.
Computer Vision: A Reference Guide
by Katsushi IkeuchiThis comprehensive reference provides easy access to relevant information on all aspects of Computer Vision. An A-Z format of over 240 entries offers a diverse range of topics for those seeking entry into any aspect within the broad field of Computer Vision. Over 200 Authors from both industry and academia contributed to this volume.Each entry includes synonyms, a definition and discussion of the topic, and a robust bibliography. Extensive cross-references to other entries support efficient, user-friendly searches for immediate access to relevant information. Entries were peer-reviewed by a distinguished international advisory board, both scientifically and geographically diverse, ensuring balanced coverage. Over 3700 bibliographic references for further reading enable deeper exploration into any of the topics covered.The content of Computer Vision: A Reference Guide is expository and tutorial, making the book a practical resource for students who are considering entering the field, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.
Computer Vision: Challenges, Trends, and Opportunities (Chapman & Hall/CRC Computer Vision)
by Richard Hartley Upal Mahbub Matthew Turk Ahad, Md Atiqur RahmanComputer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications.This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI.Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and providing a range of perspectives from top researchers around the world. A substantial compilation of ideas and state-of-the-art solutions, it will be of great benefit to students, researchers, and industry practitioners.
Computer Vision: Einführung in die Verarbeitung und Analyse digitaler Bilder (eXamen.press)
by Lutz PrieseDer Autor erläutert in dieser Einführung auf Bachelorniveau die in der Computer Vision verwendeten technischen Ausdrücke: Grundlagen des menschlichen Sehens, Farbe, exakte Begriffsbestimmungen zum Thema "Bild", Transformationen, lineare und nicht-lineare Filter, Fouriertransformation, Morphologie, Merkmale im Bild wie Kanten, Ecken, geometrische Formen mittels Hough-Transformation, diverse Hüllen und Skelettierung. Ferner höhere Merkmale wie SIFT, Shape-Context und statistische Merkmale, Texturmerkmale. Die Bestimmung von Segmenten (zusammenhängende Regionen ähnlicher Farben oder Grauwerte) wird in einem eigenen Kapitel ausführlich behandelt.
Computer Vision: From Surfaces to 3D Objects
by Christopher W. TylerThe typical computational approach to object understanding derives shape information from the 2D outline of the objects. For complex object structures, however, such a planar approach cannot determine object shape; the structural edges have to be encoded in terms of their full 3D spatial configuration. Computer Vision: From Surfaces to 3D Objects i
Computer Vision: Models, Learning, and Inference
by Simon J. D. PrinceThis modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. • Covers cutting-edge techniques, including graph cuts, machine learning, and multiple view geometry. • A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition, and object tracking. • More than 70 algorithms are described in sufficient detail to implement. • More than 350 full-color illustrations amplify the text. • The treatment is self-contained, including all of the background mathematics. • Additional resources at www. computervisionmodels. com.
Computer Vision: Object Detection In Adversarial Vision
by Mrinal Kanti BhowmikThis comprehensive textbook presents a broad review of both traditional (i.e., conventional) and deep learning aspects of object detection in various adversarial real-world conditions in a clear, insightful, and highly comprehensive style. Beginning with the relation of computer vision and object detection, the text covers the various representation ofobjects, applications of object detection, and real-world challenges faced by the research community for object detection task. The book addresses various real-world degradations and artifacts for the object detection task and also highlights the impacts of artifacts in the object detection problems. The book covers various imaging modalities and benchmark datasets mostly adopted by the research community for solving various aspects of object detection tasks. The book also collects together solutions and perspectives proposed by the preeminent researchers in the field, addressing not only the background of visibility enhancement but also techniques proposed in the literature for visibility enhancement of scenes and detection of objects in various representative real-world challenges.Computer Vision: Object Detection in Adversarial Vision is unique for its diverse content, clear presentation, and overall completeness. It provides a clear, practical, and detailed introduction and advancement of object detection in various representative challenging real-world conditions.Topics and Features:• Offers the first truly comprehensive presentation of aspects of the object detection in degraded and nondegraded environment.• Includes in-depth discussion of various degradation and artifacts, and impact of those artifacts in the real world on solving the object detection problems.• Gives detailed visual examples of applications of object detection in the real world.• Presents a detailed description of popular imaging modalities for object detection adopted by researchers.• Presents the key characteristics of various benchmark datasets in indoor and outdoor environment for solving object detection tasks.• Surveys the complete field of visibility enhancement of degraded scenes, including conventional methods designed for enhancing the degraded scenes as well as the deep architectures. • Discusses techniques for detection of objects in real-world applications.• Contains various hands-on practical examples and a tutorial for solving object detection problems using Python.• Motivates readers to build vision-based systems for solving object detection problems in degraded and nondegraded real-world challenges.The book will be of great interest to a broad audience ranging from researchers and practitioners to graduate and postgraduate students involved in computer vision tasks with respect to object detection in degraded and nondegraded real-world vision problems.
Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part I (Communications in Computer and Information Science #771)
by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai and Deyu MengThis three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.
Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part II (Communications in Computer and Information Science #772)
by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai and Deyu MengThis three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection
Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part III (Communications in Computer and Information Science #773)
by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai and Deyu MengThis three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.
Computer Vision: Statistical Models for Marr's Paradigm
by Song-Chun Zhu Ying Nian WuAs the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Béla Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. The authors hope to provide foundation and, perhaps more importantly, further inspiration for continued research in vision. This book covers David Marr's paradigm and various underlying statistical models for vision. The mathematical framework herein integrates three regimes of models (low-, mid-, and high-entropy regimes) and provides foundation for research in visual coding, recognition, and cognition. Concepts are first explained for understanding and then supported by findings in psychology and neuroscience, after which they are established by statistical models and associated learning and inference algorithms. A reader will gain a unified, cross-disciplinary view of research in vision and will accrue knowledge spanning from psychology to neuroscience to statistics.
Computer Vision: Three-dimensional Reconstruction Techniques
by Andrea FusielloFrom facial recognition to self-driving cars, the applications of computer vision are vast and ever-expanding. Geometry plays a fundamental role in this discipline, providing the necessary mathematical framework to understand the underlying principles of how we perceive and interpret visual information in the world around us. This text explores the theories and computational techniques used to determine the geometric properties of solid objects through images. It covers the basic concepts and provides the necessary mathematical background for more advanced studies. The book is divided into clear and concise chapters covering a wide range of topics including image formation, camera models, feature detection and 3D reconstruction. Each chapter includes detailed explanations of the theory as well as practical examples to help the reader understand and apply the concepts presented. The book has been written with the intention of being used as a primary resource for students on university courses in computer vision, particularly final year undergraduate or postgraduate computer science or engineering courses. It is also useful for self-study and for those who, outside the academic field, find themselves applying computer vision to solve practical problems. The aim of the book is to strike a balance between the complexity of the theory and its practical applicability in terms of implementation. Rather than providing a comprehensive overview of the current state of the art, it offers a selection of specific methods with enough detail to enable the reader to implement them.
Computer Visualization: Graphics Techniques for Engineering and Scientific Analysis
by Richard S. GallagherRapid advances in 3-D scientific visualization have made a major impact on the display of behavior. The use of 3-D has become a key component of both academic research and commercial product development in the field of engineering design. Computer Visualization presents a unified collection of computer graphics techniques for the scientific visualization of behavior. The book combines a basic overview of the fundamentals of computer graphics with a practitioner-oriented review of the latest 3-D graphics display and visualization techniques. Each chapter is written by well-known experts in the field. The first section reviews how computer graphics visualization techniques have evolved to work with digital numerical analysis methods. The fundamentals of computer graphics that apply to the visualization of analysis data are also introduced. The second section presents a detailed discussion of the algorithms and techniques used to visualize behavior in 3-D, as static, interactive, or animated imagery. It discusses the mathematics of engineering data for visualization, as well as providing the current methods used for the display of scalar, vector, and tensor fields. It also examines the more general issues of visualizing a continuum volume field and animating the dimensions of time and motion in a state of behavior. The final section focuses on production visualization capabilities, including the practical computational aspects of visualization such as user interfaces, database architecture, and interaction with a model. The book concludes with an outline of successful practical applications of visualization, and future trends in scientific visualization.
Computer and Communication Engineering: 2nd International Conference, CCCE 2022, Rome, Italy, March 11–13, 2022, Revised Selected Papers (Communications in Computer and Information Science #1630)
by Ke-Lin Du Filippo Neri Vijaya Kumar Varadarajan San-Blas Angel-Antonio Zhiyu JiangThis book constitutes refereed proceedings of the 2nd International Conference on Computer and Communication Engineering, CCCE 2022, held in Rome, Italy, March 11–13, 2022.The 9 full papers and 8 short papers presented in this volume were carefully reviewed and selected from a total of 36 submissions. The papers in the volume are organised according to the following topical headings: information science and mobile communication; computer and electronic engineering.
Computer and Communication Engineering: 4th International Conference, CCCE 2024, Oslo, Norway, May 24–26, 2024, Revised Selected Papers (Communications in Computer and Information Science #2192)
by Ke-Lin Du Filippo Neri Zhiyu Jiang Angel-Antonio San-BlasThis book constitutes the proceedings of the 4th International Conference on Computer and Communication Engineering, CCCE 2024, which took place in Oslo, Norway, during May 24-26, 2024. The 19 full papers included in this book were carefully reviewed and selected from 47 submissions. They are organized in topical sections as follows: Intelligent image analysis and multimedia technology; information network and security; digital communication and information systems; and design and implementation of modern information management systems.
Computer and Communication Engineering: First International Conference, ICCCE 2018, Guayaquil, Ecuador, October 25–27, 2018, Proceedings (Communications in Computer and Information Science #959)
by Miguel Botto-Tobar Julio Barzola-Monteses Eduardo Santos-Baquerizo Mayken Espinoza-Andaluz Wendy Yánez-PazmiñoThis book constitutes the proceedings of the First International Conference on Computer and Communication Engineering, ICCCE 2018, held in Guayaquil, Ecuador, in October 2018. The 12 full papers presented were carefully reviewed and selected from 68 submissions. The papers deal with topics such as networking protocols and performance; software engineering; information systems; and computational intelligence. They are organized in the following topical headings: communications; and computer and software engineering.
Computer and Communication Engineering: Third International Conference, CCCE 2023, Stockholm, Sweden, March 10–12, 2023, Revised Selected Papers (Communications in Computer and Information Science #1823)
by Ke-Lin Du Vijayakumar Varadarajan Filippo Neri Zhiyu Jiang Angel-Antonio San-BlasThis book constitutes refereed proceedings of the Third International Conference on Computer and Communication Engineering, CCCE 2023, held in Stockholm, Sweden, in March 2023.The 18 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: image analysis and method; network model and function analysis of mobile network; system security estimation and analysis of data network; and AI-based system model and algorithm.
Computer and Computing Technologies in Agriculture X: 10th IFIP WG 5.14 International Conference, CCTA 2016, Dongying, China, October 19–21, 2016, Proceedings (IFIP Advances in Information and Communication Technology #509)
by Daoliang LiThis book constitutes the refereed post-conference proceedings of the 10th IFIP WG 5.14 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2016, held in Dongying, China, in October 2016. The 55 revised papers presented were carefully reviewed and selected from 128 submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including intelligent sensing, cloud computing, key technologies of the Internet of Things, precision agriculture, animal husbandry information technology, including Internet + modern animal husbandry, livestock big data platform and cloud computing applications, intelligent breeding equipment, precision production models, water product networking and big data , including fishery IoT, intelligent aquaculture facilities, and big data applications.
Computer and Computing Technologies in Agriculture XI (IFIP Advances in Information and Communication Technology #545)
by Daoliang Li Chunjiang ZhaoThe two volumes IFIP AICT 545 and 546 constitute the refereed post-conference proceedings of the 11th IFIP WG 5.14 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2017, held in Jilin, China, in August 2017. The 100 revised papers included in the two volumes were carefully reviewed and selected from 282 submissions. They cover a wide range of interesting theories and applications of information technology in agriculture. The papers focus on four topics: Internet of Things and big data in agriculture, precision agriculture and agricultural robots, agricultural information services, and animal and plant phenotyping for agriculture.
Computer and Computing Technologies in Agriculture XI: 11th IFIP WG 5.14 International Conference, CCTA 2017, Jilin, China, August 12-15, 2017, Proceedings, Part II (IFIP Advances in Information and Communication Technology #546)
by Daoliang Li Chunjiang ZhaoThe two volumes IFIP AICT 545 and 546 constitute the refereed post-conference proceedings of the 11th IFIP WG 5.14 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2017, held in Jilin, China, in August 2017.The 100 revised papers included in the two volumes were carefully reviewed and selected from 282 submissions. They cover a wide range of interesting theories and applications of information technology in agriculture. The papers focus on four topics: Internet of Things and big data in agriculture, precision agriculture and agricultural robots, agricultural information services, and animal and plant phenotyping for agriculture.
Computer and Cyber Security: Principles, Algorithm, Applications, and Perspectives
by Brij B. GuptaThis is a monumental reference for the theory and practice of computer security. Comprehensive in scope, this text covers applied and practical elements, theory, and the reasons for the design of applications and security techniques. It covers both the management and the engineering issues of computer security. It provides excellent examples of ideas and mechanisms that demonstrate how disparate techniques and principles are combined in widely-used systems. This book is acclaimed for its scope, clear and lucid writing, and its combination of formal and theoretical aspects with real systems, technologies, techniques, and policies.