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: 720

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).

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: 772

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.

Emerging Trends in Image Processing Computer Vision and Pattern Recognition

Based on the topics described earlier, we can implement several algorithms for
practical surveillance applications. These algorithms that we will describe can
run serially, but for improved performance we can run them in parallel.

Emerging Trends in Image Processing  Computer Vision and Pattern Recognition

Author: Leonidas Deligiannidis

Publisher: Morgan Kaufmann

ISBN: 012802092X

Page: 640

View: 511

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.

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: 637

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.

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: 252

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:

Rough Sets and Current Trends in Computing

... and extrinsic parameters including rotation and translation. 1 Introduction The
seamless integration of synthetic objects with real photographs or video images
has long been one of the central topics in computer vision and computer graphics
 ...

Rough Sets and Current Trends in Computing

Author: Salavatore Greco

Publisher: Springer Science & Business Media

ISBN: 3540476938

Page: 954

View: 675

This book constitutes the refereed proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006, held in Kobe, Japan in November 2006. The 91 revised full papers presented together with five invited papers and two commemorative papers were carefully reviewed and selected from 332 submissions.

Research Developments in Computer Vision and Image Processing Methodologies and Applications

These are computer vision, which is related to the construction of the 3D world
from the observed 2D images, and computer graphics, ... This book incorporates
the contents related to the latest research trends in emerging core areas and
applications of computer vision and image ... The various topics include various
important topics such as image representation, 3D reconstruction, wavelet-based
image ...

Research Developments in Computer Vision and Image Processing  Methodologies and Applications

Author: Srivastava, Rajeev

Publisher: IGI Global

ISBN: 1466645598

Page: 451

View: 450

Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.

Trends in Applied Intelligent Systems

The papers in the proceedings cover a wide number of topics including:
applications to robotics, business and financial markets, bioinformatics and
biomedicine, applications of agent-based systems, computer vision, control,
simulation and ...

Trends in Applied Intelligent Systems

Author: Nicolás García-Pedrajas

Publisher: Springer

ISBN: 3642130259

Page: 680

View: 156

Annotation The three volume set LNAI 6096, LNAI 6097, and LNAI 6098 constitutes the thoroughly refereed conference proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligend Systems, IEA/AIE 2010, held in Cordoba, Spain, in June 2010. The total of 119 papers selected for the proceedings were carefully reviewed and selected from 297 submissions.

Computer Vision ECCV 2012 Workshops and Demonstrations

We received 38 workshop proposals on diverse computer vision topics. ... In the
end, the addressed workshop topics constituted a good mix between novel
current trends and traditional issues, without forgetting to address the
fundamentals of ...

Computer Vision    ECCV 2012  Workshops and Demonstrations

Author: Andrea Fusiello

Publisher: Springer

ISBN: 3642338631

Page: 611

View: 605

The three volume set LNCS 7583, 7584 and 7585 comprises the Workshops and Demonstrations which took place in connection with the European Conference on Computer Vision, ECCV 2012, held in Firenze, Italy, in October 2012. The total of 179 workshop papers and 23 demonstration papers was carefully reviewed and selected for inclusion in the proceedings. They where held at workshops with the following themes: non-rigid shape analysis and deformable image alignment; visual analysis and geo-localization of large-scale imagery; Web-scale vision and social media; video event categorization, tagging and retrieval; re-identification; biological and computer vision interfaces; where computer vision meets art; consumer depth cameras for computer vision; unsolved problems in optical flow and stereo estimation; what's in a face?; color and photometry in computer vision; computer vision in vehicle technology: from earth to mars; parts and attributes; analysis and retrieval of tracked events and motion in imagery streams; action recognition and pose estimation in still images; higher-order models and global constraints in computer vision; information fusion in computer vision for concept recognition; 2.5D sensing technologies in motion: the quest for 3D; benchmarking facial image analysis technologies.

Computer Vision ECCV 2014 Workshops

We received 38 workshop proposals on diverse computer vision topics. ... In the
end, the addressed workshop topics constituted a good mix between novel
current trends and traditional issues, without forgetting to address the
fundamentals of ...

Computer Vision   ECCV 2014 Workshops

Author: Lourdes Agapito

Publisher: Springer

ISBN: 3319161784

Page: 842

View: 746

The four-volume set LNCS 8925, 8926, 8927, and 8928 comprises the refereed post-proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They were presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tagging and retrieval towards big data; computer vision with local binary pattern variants; visual object tracking challenge; computer vision + ontology applies cross-disciplinary technologies; visual perception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; surveillance and re-identification; color and photometry in computer vision; assistive computer vision and robotics; computer vision problems in plant phenotyping; and non-rigid shape analysis and deformable image alignment. Additionally, a panel discussion on video segmentation is included. .

New Trends in Computational Collective Intelligence

... trending research topics from areas related to Artificial Intelligence, Soft
Computing, and Data Mining among others. ... and Knowledge Processing, Data
Mining Methods and Applications, Computer Vision, and Intelligent
Computational ...

New Trends in Computational Collective Intelligence

Author: David Camacho

Publisher: Springer

ISBN: 3319107747

Page: 213

View: 714

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.

Dynamical Systems Control Coding Computer Vision

New Trends, Interfaces, and Interplay Giorgio Picci, D.S. Gilliam ... stability,
prediction and other problems) and there is a considerable literature on these
topics (see, for example, the books [25], [28], [12], [42], [35], [21], the papers [23], [
16], [17] ...

Dynamical Systems  Control  Coding  Computer Vision

Author: Giorgio Picci

Publisher: Springer Science & Business Media

ISBN: 9783764360603

Page: 493

View: 200

This book is a collection of essays devoted in part to new research direc tions in systems, networks, and control theory, and in part to the growing interaction of these disciplines with new sectors of engineering and applied sciences like coding, computer vision, and hybrid systems. These are new areas of rapid growth and of increasing importance in modern technology. The essays, written by world-leading experts in the field, reproduce and expand the plenary and minicoursejminisymposia invited lectures which were delivered at the Mathematical Theory of Networks and Systems Sym posium (MTNS-98), held in Padova, Italy, on July 6-10, 1998. Systems, control, and networks theory has permeated the development of much of present day technology. The impact has been visible in the past fifty years through the dramatic expansion and achievements of the aerospace and avionics industry, through process control and factory au tomation, robotics, communication signals analysis and synthesis, and, more recently, even finance, to name just the most visible applications. The theory has developed from the early phase of its history when the ba sic tools were elementary complex analysis, Laplace transform, and linear differential equations, to present day, where the mathematics ranges widely from functional analysis, PDE's, abstract algebra, stochastic processes and differential geometry. Irrespective of the particular tools, however, the ba sic unifying paradigms of feedback, stability, optimal control, and recursive filtering, have remained the bulk of the field and continue to be the basic motivation for the theory, coming from the real world.

Image Processing Concepts Methodologies Tools and Applications

Other chapters in this section cover topics ranging from visual saliency and
reconstruction to computer vision and 3D modeling. Notable contributions
include Radu Dobrescu and Dan Popescu's investigation of software platforms
for three ...

Image Processing  Concepts  Methodologies  Tools  and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 1466639954

Page: 1552

View: 198

Advancements in digital technology continue to expand the image science field through the tools and techniques utilized to process two-dimensional images and videos. Image Processing: Concepts, Methodologies, Tools, and Applications presents a collection of research on this multidisciplinary field and the operation of multi-dimensional signals with systems that range from simple digital circuits to computers. This reference source is essential for researchers, academics, and students in the computer science, computer vision, and electrical engineering fields.

Computer Vision Advances and applications

Initially , the memory and processing limitations of computers constrained
computer vision research . ... chapters in the companion book , Computer Vision :
Principles , introduce the following fundamental topics in computer vision ... The
Epilogue presents current research trends and future directions for computer
vision .

Computer Vision  Advances and applications

Author: Rangachar Kasturi

Publisher: IEEE Computer Society

ISBN:

Page: 709

View: 395

Trends in Optics

... spawning of dependant technologies such as fibre optics, optical
communications, optical computing, laser materials processing and holography.
... work, edited by Professor Anna Consortini, enhances our knowledge of recent
developments in optics with reviews of topics such as optical ... Laser Technology
; Adaptive Optic Systems; Lens and Optical System Design and Robotics; and
Machine Vision.

Trends in Optics

Author: Anna Consortini

Publisher: Academic Press

ISBN: 9780080543253

Page: 587

View: 109

Anna Consortini, The President of the International Commission for Optics (ICO), has accommodated a broad spectrum of optical science topics in Trends in Optics. This book, a compilation of research reviews written by outstanding figures in the field of optics, is aimed not only at specialists in the optical sciences, but also at scientists in other fields who might want to broaden their knowledge of optics. The latest developments in this rapidly progressing field are described, and new applications are detailed--including some previously undisclosed material on the U.S. 'Star Wars project. Authoritative and approachable, this volume should provide comprehensive insight into the ever-expanding optical sciences. Key Features * Edited by the president of the International Commission for Optics * Includes research reviews written by experts in the field * Compiles a wide range of topics in optical science

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: 972

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

Smart Cameras

Ahmed Nabil Belbachir Abstract Forecasting the future trends of smart cameras is
a real challenge due to the rapid evolution of technologies, applications, and
user needs. ... (future imaging technologies), computer engineering (future
embedded systems), and computer vision (future computer vision). Based on
actual research highlights, the following topics can contribute to the future of
smart cameras.

Smart Cameras

Author: Ahmed Nabil Belbachir

Publisher: Springer Science & Business Media

ISBN: 9781441909534

Page: 404

View: 638

A smart camera is an integrated machine vision system which, in addition to image capture circuitry, includes a processor, which can extract information from images without need for an external processing unit, and interface devices used to make results available to other devices. This book provides content on smart cameras for an interdisciplinary audience of professionals and students in embedded systems, image processing, and camera technology. It serves as a self-contained, single-source reference for material otherwise found only in sources such as conference proceedings, journal articles, or product data sheets. Coverage includes the 50 year chronology of smart cameras, their technical evolution, the state-of-the art, and numerous applications, such as surveillance and monitoring, robotics, and transportation.

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 Nature

ISBN: 3030418626

Page:

View: 563

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.--