Computer vision in control systems

Volume 1 : This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include: ·         Morphological Image Analysis for Computer Vision Applications. ·         Methods for Detecting of Structu...

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Detalles Bibliográficos
Autores principales: Favorskaya, Margarita, Jain, Lakhmi
Lenguaje:eng
Publicado: Springer 2015
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-10653-3
https://dx.doi.org/10.1007/978-3-319-11430-9
http://cds.cern.ch/record/1973420
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author Favorskaya, Margarita
Jain, Lakhmi
author_facet Favorskaya, Margarita
Jain, Lakhmi
author_sort Favorskaya, Margarita
collection CERN
description Volume 1 : This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include: ·         Morphological Image Analysis for Computer Vision Applications. ·         Methods for Detecting of Structural Changes in Computer Vision Systems. ·         Hierarchical Adaptive KL-based Transform: Algorithms and Applications. ·         Automatic Estimation for Parameters of Image Projective Transforms Based on Object-invariant Cores. ·         A Way of Energy Analysis for Image and Video Sequence Processing. ·         Optimal Measurement of Visual Motion Across Spatial and Temporal Scales. ·         Scene Analysis Using Morphological Mathematics and Fuzzy Logic. ·         Digital Video Stabilization in Static and Dynamic Scenes. ·         Implementation of Hadamard Matrices for Image Processing. ·         A Generalized Criterion of Efficiency for Telecommunication Systems. The book is directed to PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.
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spelling cern-19734202021-04-21T20:42:10Zdoi:10.1007/978-3-319-10653-3doi:10.1007/978-3-319-11430-9http://cds.cern.ch/record/1973420engFavorskaya, MargaritaJain, LakhmiComputer vision in control systemsEngineeringVolume 1 : This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include: ·         Morphological Image Analysis for Computer Vision Applications. ·         Methods for Detecting of Structural Changes in Computer Vision Systems. ·         Hierarchical Adaptive KL-based Transform: Algorithms and Applications. ·         Automatic Estimation for Parameters of Image Projective Transforms Based on Object-invariant Cores. ·         A Way of Energy Analysis for Image and Video Sequence Processing. ·         Optimal Measurement of Visual Motion Across Spatial and Temporal Scales. ·         Scene Analysis Using Morphological Mathematics and Fuzzy Logic. ·         Digital Video Stabilization in Static and Dynamic Scenes. ·         Implementation of Hadamard Matrices for Image Processing. ·         A Generalized Criterion of Efficiency for Telecommunication Systems. The book is directed to PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.Volume 2 : The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: ·          Human Action Recognition: Contour-Based and Silhouette-based Approaches. ·         The Application of Machine Learning Techniques to Real Time Audience Analysis System. ·         Panorama Construction from Multi-view Cameras in Outdoor Scenes. ·         A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. ·         Perception of Audio Visual Information for Mobile Robot Motion Control Systems. ·         Adaptive Surveillance Algorithms Based on the Situation Analysis. ·         Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. ·         Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing. ·         Efficient Denoising Algorithms for Intelligent Recognition Systems. ·         Image Segmentation Based on Two-dimensional Markov Chains. The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.Springeroai:cds.cern.ch:19734202015
spellingShingle Engineering
Favorskaya, Margarita
Jain, Lakhmi
Computer vision in control systems
title Computer vision in control systems
title_full Computer vision in control systems
title_fullStr Computer vision in control systems
title_full_unstemmed Computer vision in control systems
title_short Computer vision in control systems
title_sort computer vision in control systems
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-10653-3
https://dx.doi.org/10.1007/978-3-319-11430-9
http://cds.cern.ch/record/1973420
work_keys_str_mv AT favorskayamargarita computervisionincontrolsystems
AT jainlakhmi computervisionincontrolsystems

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