Trends and Topics in Computer Vision

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 ...

Trends and Topics in Computer Vision

Author: Kiriakos N. Kutulakos

Publisher: Springer

ISBN: 3642357407

Page: 479

View: 393

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

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 ...

Emerging Trends in Image Processing  Computer Vision and Pattern Recognition

Author: Leonidas Deligiannidis

Publisher: Morgan Kaufmann

ISBN: 012802092X

Page: 640

View: 145

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.

Advances in Computer Vision

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
trends.

Advances in Computer Vision

Author: Kohei Arai

Publisher: Springer

ISBN: 303017798X

Page: 767

View: 470

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.

New Trends in Image Analysis and Processing ICIAP 2013 Workshops

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
and ...

New Trends in Image Analysis and Processing  ICIAP 2013 Workshops

Author: Alfredo Petrosino

Publisher: Springer

ISBN: 3642411908

Page: 561

View: 631

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.

Advances in Computer Vision and Information Technology

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.

Advances in Computer Vision and Information Technology

Author: K. V. Kale

Publisher: I. K. International Pvt Ltd

ISBN: 8189866745

Page: 1688

View: 696

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

Emerging Topics in Computer Vision and its Applications

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 ...

Emerging Topics in Computer Vision and its Applications

Author: C H Chen

Publisher: World Scientific

ISBN: 9814460710

Page: 508

View: 160

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:

Computer Vision and Recognition Systems

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.

Computer Vision and Recognition Systems

Author: Chiranji Lal Chowdhary

Publisher: Apple Academic Press

ISBN: 9781774630150

Page: 281

View: 224

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.

New Trends in Computational Collective Intelligence

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.

New Trends in Computational Collective Intelligence

Author: David Camacho

Publisher: Springer

ISBN: 3319107747

Page: 213

View: 458

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.

New Trends in Computational Vision and Bio inspired Computing

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, ...

New Trends in Computational Vision and Bio inspired Computing

Author: S. Smys

Publisher: Springer

ISBN: 9783030418618

Page: 790

View: 488

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.

Recent Advances in Computer Vision

This book presents a collection of high-quality research by leading experts in computer vision and its applications.

Recent Advances in Computer Vision

Author: Mahmoud Hassaballah

Publisher: Springer

ISBN: 3030030008

Page: 425

View: 269

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.

Trends Applications 1983

COMPUTER VISION RESEARCH FOR INDUSTRIAL APPLICATIONS Azriel
Rosenfeld Center for Automation Research ... The specific topics covered are
feature detection , texture analysis , surface orientation estimation , image
matching ...

Trends   Applications  1983

Author:

Publisher:

ISBN: 9780818600449

Page: 285

View: 831

Physics Briefs

panel of 11 speakers presented their views of the current market and trends that
will change the market in 1991 . Considering the political and ... The eight
sessions provide excellent groupings of topics in computer vision . The first
session ...

Physics Briefs

Author:

Publisher:

ISBN:

Page:

View: 206

New Trends in Computer Technologies and Applications

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.

New Trends in Computer Technologies and Applications

Author: Chuan-Yu Chang

Publisher: Springer

ISBN: 9811391904

Page: 795

View: 575

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.

Computer Vision Concepts Methodologies Tools and Applications

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 ...

Computer Vision  Concepts  Methodologies  Tools  and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 1522552057

Page: 2451

View: 424

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.

Challenges and Trends in Multimodal Fall Detection for Healthcare

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.

Challenges and Trends in Multimodal Fall Detection for Healthcare

Author: Hiram Ponce

Publisher: Springer Nature

ISBN: 3030387488

Page: 259

View: 203

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.

New Trends in Animation and Visualization

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 ) ...

New Trends in Animation and Visualization

Author: Nadia Magnenat-Thalmann

Publisher: John Wiley & Sons Incorporated

ISBN:

Page: 284

View: 205

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.

Periodical Title and Abbreviation by Abbreviation

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 ...

Periodical Title and Abbreviation by Abbreviation

Author: Leland G. Alkire

Publisher: Gale Group

ISBN: 9780787699185

Page: 1614

View: 957

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.