1. Lowe, D.: Distinctive image features from scale-invariant keypoints.
International Journal of Computer Vision (2004) 2. Zhao, W., Nister, D., Hsu, S.:
Alignment of continuous video onto 3d point clouds. IEEE Transactions on
Pattern Analysis ...
Author: Kiriakos N. Kutulakos
The two volumes LNCS 6553 and 6554 constitute the refereed post-proceedings of 7 workshops held in conjunction with the 11th European Conference on Computer Vision, held in Heraklion, Crete, Greece in September 2010. The 62 revised papers presented together with 2 invited talks were carefully reviewed and selected from numerous submissions. The second volume contains 34 revised papers selected from the following workshops: Workshop on color and Reflectance in Imaging and Computer Vision (CRICV 2010); Workshop on Media Retargeting (MRW 2010); Workshop on Reconstruction and Modeling of Large-Scale 3D Virtual Environments (RMLE 2010); and Workshop on Computer Vision on GPUs (CVGPU 2010).
Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer ...
Author: Leonidas Deligiannidis
Publisher: Morgan Kaufmann
Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities. Drawing upon the knowledge of recognized experts with years of practical experience and discussing new and novel applications Editors’ Leonidas Deligiannidis and Hamid Arabnia cover; Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. How to use image processing and visualization to analyze big data. Discusses novel applications that can benefit from image processing, computer vision and pattern recognition such as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. Covers key application techniques in computer vision from fundamentals to mid to high level processing some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication. Presents a number of pattern recognition algorithms and methodologies including but not limited to; supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. Explains how to use image processing and visualization to analyze big data.
Proceedings of the 2019 Computer Vision Conference (CVC), Volume 2 Kohei
Arai, Supriya Kapoor ... research findings in the literature that uses visualization
analytics, scientometrics, and text mining such as topic modeling to identify
Author: Kohei Arai
This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 118 (including 7 poster papers) were selected for inclusion in these proceedings. The book’s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science, Image Processing, Deep Learning, and Computer Vision Applications.
The topics addressed constituted a good mix between novel current trends in
computer vision and the fundamentals of image analysis and pattern recongniton
. – ACVR 2013, the First International Workshop on Assistive Computer Vision
Author: Alfredo Petrosino
This book constitutes the refereed proceedings of the workshops held with the 17th International Conference on Image Analysis and Processing, ICIAP 2013, held in Naples, Italy, in September 2013. The proceedings include papers from the five individual workshops focusing on topics of interest to the pattern recognition, image analysis, and computer vision communities, exploring emergent research directions or spotlight cross-disciplinary links with related fields and / or application areas.
This text includes 225 articles covering the following topics: Advance Networking and Security/Wireless Networking/Cyber Laws. Advance Software Computing. Artificial Intelligence/Natural Language Processing/Neural Networks.
Author: K. V. Kale
Publisher: I. K. International Pvt Ltd
The latest trends in Information Technology represent a new intellectual paradigm for scientific exploration and visualization of scientific phenomena. The present treatise covers almost all the emerging technologies in the field. Academicians, engineers, industralists, scientists and researchers engaged in teaching, research and development of Computer Science and Information Technology will find the book useful for their future academic and research work. The present treatise comprising 225 articles broadly covers the following topics exhaustively. 01. Advance Networking and Security/Wireless Networking/Cyber Laws 02. Advance Software Computing 03. Artificial Intelligence/Natural Language Processing/ Neural Networks 04. Bioinformatics/Biometrics 05. Data Mining/E-Commerce/E-Learning 06. Image Processing, Content Based Image Retrieval, Medical and Bio-Medical Imaging, Wavelets 07. Information Processing/Audio and Text Processing/Cryptology, Steganography and Digital Watermarking 08. Pattern Recognition/Machine Vision/Image Motion, Video Processing 09. Signal Processing and Communication/Remote Sensing 10. Speech Processing & Recognition, Human Computer Interaction 11. Information and Communication Technology
Towards a general probabilistic framework While the summary of previous
approaches is by no means exhaustive, a few trends are clear. In early works,
simple statistical and computational techniques were used to arrive at an
estimate for a ...
Author: C H Chen
Publisher: World Scientific
This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it gives an extensive coverage of 3D and robotic vision problems. Example chapters featured are Fourier methods for 3D surface modeling and analysis, use of constraints for calibration-free 3D Euclidean reconstruction, novel photogeometric methods for capturing static and dynamic objects, performance evaluation of robot localization methods in outdoor terrains, integrating 3D vision with force/tactile sensors, tracking via in-floor sensing, self-calibration of camera networks, etc. Some unique applications of computer vision in marine fishery, biomedical issues, driver assistance, are also highlighted. Contents: Emerging Theory and Methodologies in Computer Vision:On the Estimation of 3D Human Body Models and Pose from Multiple Cameras (Aravind Sundaresan and Rama Chellappa)Face Super-Resolution (Wilman W W Zou and Pong C Yuen)Classification and Clustering of Vector Space Embedded Graphs (Kaspar Riesen and Horst Bunke)Activity Modeling and Recognition Using Probabilistic Graphical Models (Xiaoyang Wang, Zhi Zeng and Qiang Ji)Background Estimation and Its Applications (Xida Chen and Yee-Hong Yang)Nonrigid Image Registration Using Moments (Wei Liu and Eraldo Ribeiro)Nonparametric Sample-Based Methods for Image Understanding (Alexander Wong, Akshaya Mishra, David A Clausi and Paul W Fieguth)A Probabilistic Formulation for the Correspondence Problem (Ron Tal and Minas E Spetsakis)Emerging Applications of Computer Vision:Fourier Methods for 3D Surface Modeling and Analysis (Li Shen, Sungeun Kim, Jing Wan, John D West and Andrew J Saykin)Near Infrared Face Recognition and Eyeglasses (Stan Z Li and Dong Yi)The Phase Only Transform for Unsupervised Surface Defect Detection (D Aiger and H Talbot)Cellular Automata as a Tool for Image Processing (Paul L Rosin and Xianfang Sun)Computer Vision in Marine Fishery Identification (Bichuan Shen and Chi Hau Chen)Vehicle Detection in Remote Sensing Satellite Imagery (Bichuan Shen, C H Chen and Giovanni Marchisio)Application of Polar Harmonic Transforms to Fingerprint Classification (Manhua Liu, Xudong Jiang, Alex Chichung Kot and Pew-Thian Yap)Object Correspondence Networks for Unsupervised Recognition of Identical Objects (Minsu Cho, Young Min Shin and Kyoung Mu Lee)Modern Systems and Technology in Computer Vision:The Use of Constraints for Calibration-Free 3D Metric Reconstruction: From Theory to Applications (B Boufama and S Bouakaz)Auction-Based Dynamic Camera Grouping with Active Control (Bir Bhanu and Yiming Li)Novel Photogeometric Methods for Capturing Static and Dynamic Objects (Yi Xu and Daniel G Aliaga)Multi-View Surface Reconstruction by Quasi-Dense Wide Baseline Matching (Juho Kannala, Markus Ylimäki, Pekka Koskenkorva and Sami S Brandt)Combining Traffic Sign Detection with 3D Tracking Towards Better Driver Assistance (Radu Timofte, Victor Adrian Prisacariu, Luc Van Gool and Ian Reid)Self-Calibration of Camera Networks: Active and Passive Methods (Marcel Brückner, Ferid Bajramovic and Joachim Denzler)A Performance Evaluation of Robot Localization Methods in Outdoor Terrains (Ehsan Fazl-Ersi and John K Tsotsos) Readership: Researchers, professionals and academics in pattern recognition and image analysis, robotics & automation, software engineering, numerical and computational mathematics, and computer engineering. Keywords:Theory and Methods in Computer Vision;3-D Vision and Reconstruction;Robotic Vision;Vector Space Embedded GraphsKey Features:
This cutting-edge volume, Computer Vision and Recognition Systems: Research Innovations and Trends, focuses on how artificial intelligence can be used to give computers the ability to imitate human sight.
Author: Chiranji Lal Chowdhary
Publisher: Apple Academic Press
This cutting-edge volume, Computer Vision and Recognition Systems: Research Innovations and Trends, focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. It explains the essential modules that are necessary for comprehending artificial intelligence experiences to provide machines with the power of vision.With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book discusses how machine learning and deep learning are important aspects in computer vision and recognition systems. The volume also presents a number of innovative research developments, applications, and current trends in the field.The chapters cover such topics as visual quality improvement, Parkinson's disease diagnosis, hypertensive retinopathy detection through retinal fundus, big image data processing, N-grams for image classification, medical brain images, chatbot applications, credit score improvisation, vision-based lane and vehicle detection, damaged vehicle parts recognition, partial image encryption of medical images, and image synthesis. The chapter authors show different approaches to computer vision, image processing, and frameworks for machine learning to build automated and stable applications. Deep learning is included for making immersive application-based systems, pattern recognition, and biometric systems. The book also considers efficiency and comparison at various levels of using algorithms for real-time applications, processes, and analysis.This volume provides a rich source of information for researchers, professionals, and anyone working in computer vision and recognition systems.
This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques.
Author: David Camacho
This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques. Computational Collective Intelligence methods and algorithms are one the current trending research topics from areas related to Artificial Intelligence, Soft Computing or Data Mining among others. Computational Collective Intelligence is a rapidly growing field that is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions and processing knowledge among autonomous units acting in distributed environments. Web-based Systems, Social Networks, and Multi-Agent Systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The chapters included in this volume cover a selection of topics and new trends in several domains related to Collective Computational Intelligence: Language and Knowledge Processing, Data Mining Methods and Applications, Computer Vision, and Intelligent Computational Methods. This book will be useful for graduate and PhD students in computer science as well as for mature academics, researchers and practitioners interested in the methods and applications of collective computational intelligence in order to create new intelligent systems.
This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, ...
Author: S. Smys
This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics. In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.
This book presents a collection of high-quality research by leading experts in computer vision and its applications.
Author: Mahmoud Hassaballah
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.
The present book includes extended and revised versions of papers presented during the 2018 International Computer Symposium (ICS 2018), held in Yunlin, Republic of China (Taiwan), on December 20-22, 2018.
Author: Chuan-Yu Chang
The present book includes extended and revised versions of papers presented during the 2018 International Computer Symposium (ICS 2018), held in Yunlin, Republic of China (Taiwan), on December 20-22, 2018. The 86 papers presented were carefully reviewed and selected from 263 submissions from 11 countries. The variety of the topics include machine learning, sensor devices and platforms, sensor networks, robotics, embedded systems, networks, operating systems, software system structures, database design and models, multimedia and multimodal retrieval, object detection, image processing, image compression, mobile and wireless security.
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 ...
Author: Management Association, Information Resources
Publisher: IGI Global
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.
This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion.
Author: Hiram Ponce
Publisher: Springer Nature
This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion. It includes theory and coding implementations to help readers quickly grasp the concepts and to highlight the applicability of this technology. For convenience, it is divided into two parts. The first part reviews the state of the art in human fall and activity recognition systems, while the second part describes a public dataset especially curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples. This book is useful for anyone who is interested in fall detection systems, as well as for those interested in solving challenging, signal recognition, vision and machine learning problems. Potential applications include health care, robotics, sports, human–machine interaction, among others.
Computer Vision and Pattern Recognition Conference ( CVPR91 ) , Maui , HI ,
June . Miller G ( 1988 ) The Motion Dynamics ... Topics in Physically - Based
Modeling , ACM SIGGRAPH '87 Course Notes Vol . 30 . Pentland A , Williams J (
1989 ) ...
Author: Nadia Magnenat-Thalmann
Publisher: John Wiley & Sons Incorporated
This selection of works on advanced computer graphics techniques in animation and visualization contains contributions by leading international experts in the field from the U.S., Europe, and Japan presenting new and important topics from a practical and a theoretical viewpoint. It covers virtual environments, object-oriented programming in computer animation, shape interrogation, facial animation, animation in architecture, and human modeling in visualization.
CVGIP ( Computer Vision Graphics and Image Processing ) Graphical Models
and Image Processing CVGIP ... Current Topics in Hematology - Curr Top He -
matol Current Topics in Immunology Series - Curr Top Immunol Ser Current
Topics in Intensive Care Medicine - Curr Top ... Proceedings of a Symposium -
Curr Trends Heterocycl Chem Proc Symp Current Trends in Histocompatibility -
Curr Trends ...
Author: Leland G. Alkire
Publisher: Gale Group
Volume 1 is a comprehensive dictionary with more than 230,000 entries. It covers periodicals from a wide variety of subjects, including: science, social sciences, humanities, law, medicine, religion, library science, engineering, education, business, and art. Volume 1lists, in a single in letter-by-letter sequence, abbreviations commonly used for periodicals together with their full titles.