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Image Understanding: Advances In Computational Vision Volume 3, 


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Название:  Image Understanding: Advances In Computational Vision Volume 3
ISBN: 9780893915476
Издательство: Elsevier Science
Классификация:
ISBN-10: 0893915475
Обложка/Формат: Hardcover
Страницы: 200
Вес: 0.57 кг.
Дата издания: 31.12.1990
Язык: English
Иллюстрации: Indexes
Размер: 237 x 159 x 21
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: Advances in computational vision, volume three
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: The volumes in this series contain studies in computational vision or image understanding, and explain the computations that underlie the extraction and use of visual information by both biological and artificial systems. Reprints of seminal studies are included along with the original articles.

Image Understanding: Advances In Computational Vision Volume 2

Название: Image Understanding: Advances In Computational Vision Volume 2
ISBN: 0893913111 ISBN-13(EAN): 9780893913113
Издательство: Elsevier Science
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Цена: 70250.00 T
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Описание: The volumes in this series contain studies in computational vision or "image understanding", and explain the computations that underlie the extraction and use of visual information by both biological and artificial systems. Reprints of seminal studies are included along with the original articles.

Advances in Computational Vision and Medical Image Processing

Автор: Joao Tavares; R. M. Natal Jorge
Название: Advances in Computational Vision and Medical Image Processing
ISBN: 904818066X ISBN-13(EAN): 9789048180660
Издательство: Springer
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Цена: 130430.00 T
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Описание: The present book contains extended versions of papers presented in the Conference VIPIMAGE 2007 - ECCOMAS Thematic Conference on Computational Vision and Medical Image. This ECCOMAS thematic conference was on computational vision and medical image processing.

Multimodal Computational Attention for Scene Understanding and Robotics

Автор: Schauerte Boris
Название: Multimodal Computational Attention for Scene Understanding and Robotics
ISBN: 3319816055 ISBN-13(EAN): 9783319816050
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book presents state-of-the-art computationalattention models that have been successfully tested in diverse applicationareas and can build the foundation for artificial systems to efficientlyexplore, analyze, and understand natural scenes.

Computational Vision and Medical Image Processing

Автор: Joao Tavares; R. M. Natal Jorge
Название: Computational Vision and Medical Image Processing
ISBN: 9400734204 ISBN-13(EAN): 9789400734203
Издательство: Springer
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Цена: 130430.00 T
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Описание: This collection of state-of-the-art research, methods and new trends in computational vision and medical image-processing features papers presented to the 2009 VIPIMAGE conference. It will be a major contribution to the development of these knowledge areas.

Developments in Medical Image Processing and Computational Vision

Автор: Jo?o Manuel R. S. Tavares; Renato Natal Jorge
Название: Developments in Medical Image Processing and Computational Vision
ISBN: 331913406X ISBN-13(EAN): 9783319134062
Издательство: Springer
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Цена: 130610.00 T
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Описание:

Preface.- On the evaluation of automated MRI brain segmentations: technical and conceptual tools, by Elisabetta Binaghi, Valentina Pedoia, Desiree Lattanzi, Emanuele Monti, Sergio Balbi, Renzo Minotto.- Analysis of the retinal nerve fiber layer texture related to the thickness measured by optical coherence tomography, by J. Odstrcilik, R. Kolar, R.P. Tornow, A. Budai, J. Jan, P. Mackova, M. Vodakova.- Continuum mechanics meets echocardiographic imaging: investigation on the principal strain lines in human left ventricle, by A. Evangelista, S. Gabriele, P. Nardinocchi, P. Piras, P.E. Puddu, L. Teresi, C. Torromeo, V. Varano.- A GPU accelerated algorithm for blood detection in wireless capsule endoscopy images, by Sunil Kumar, Isabel N. Figueiredo, Carlos Graзa, Gabriel Falcгo.- Automated image mining in fMRI Reports: a meta-research study, by N. Gonзalves, G. Vranou, R. Vigбrio.- Visual pattern recognition framework based on the best rank tensor decomposition, by B. Cyganek.- Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method, by B. Taboada, F. C. Monteiro, R. Lima.- A 3D computed tomography based tool for orthopedic surgery planning, by Joгo Ribeiro, Victor Alves, Sara Silva, Jaime Campos.- Preoperative planning of surgical treatment with the use of 3D visualization and finite element method, by Wolański Wojciech, Gzik-Zroska Bożena, Kawlewska Edyta, Gzik Marek, Dzielicki Jуzef, Larysz Dawid, Rudnik Adam.- Pretreatment and reconstruction of three-dimensional images applied in a locking reconstruction plate for a structural analysis with FEA, by Joгo Paulo O. Freitas, Edson A. Capello de Sousa, Cesar R. Foschini, Rogerio R. Santos, Sheila C. Rahal.- Tortuosity influence on the trabecular bone elasticity and mechanical competence, by Waldir Leite Roque, Angel Alberich-Bayarri.- Influence of beam hardening artifact in bone interface contact evaluation by 3D X-ray microtomography, by I. Lima, M. Marquezan, M. M. G. Souza, E. F. Sant'Anna, R. T. Lopes.- Anisotropy estimation of trabecular bone in gray-scale: comparison between cone beam and micro computed tomography data, by Rodrigo Moreno, Magnus Borga, Eva Klintstrцm, Torkel Brismar, Цrjan Smedby.- Fractured bone identification from CT images, fragment separation and fracture zone detection, by Fйlix Paulano, Juan J. Jimйnez, Rubйn Pulido.- On evolutionary integral models for image restoration, by E. Cuesta, A. Durбn, M. Kirane.- Colour image quantisation using KM and KHM clustering techniques with outlier-based initialization, by Henryk Palus, Mariusz Frackiewicz.- A study of a firefly meta-heuristics for multithreshold image segmentation, by H. Erdmann, G. Wachs-Lopes, C. Gallгo, M. P. Ribeiro, P. S. Rodrigues.- Visual-inertial 2D feature tracking based on an affine photometric model, by Dominik Aufderheide, Gerard Edwards and Werner Krybus.- Inferring heading direction from silhouettes, by Amina Bensebaa, Slimane Larabi, Neil M. Robertson.- A fast and accurate algorithm for detecting and tracking moving hand gestures, by Walter C. S. S. Simхes, Ricardo da S. Barboza, Vicente F. de Lucena Jr., Rafael D. Lins.- Hand gesture recognition system based in computer vision and machine learning, by Paulo Trigueiros, Fernando Ribeiro, Luнs Paulo Reis.- 3D Scanning using RGBD imaging devices: a survey, by Eduardo E. Hitomi, Jorge V. L. Silva, Guilherme C. S. Ruppert.


Topics in Medical Image Processing and Computational Vision

Автор: Joao Manuel R.S. Tavares; Renato M. Natal Jorge
Название: Topics in Medical Image Processing and Computational Vision
ISBN: 940178180X ISBN-13(EAN): 9789401781800
Издательство: Springer
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Цена: 130590.00 T
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Описание: This volume collects state-of-the-art research, methods and new ideas on the subject of computational vision and medical image processing. As a result, the text contributes to developments in the fields of informatics, mathematics, statistics, psychology, mechanics and physics.

Developments in Medical Image Processing and Computational Vision

Автор: Jo?o Manuel R. S. Tavares; Renato Natal Jorge
Название: Developments in Medical Image Processing and Computational Vision
ISBN: 3319364626 ISBN-13(EAN): 9783319364629
Издательство: Springer
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Цена: 104480.00 T
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Описание:

Preface.- On the evaluation of automated MRI brain segmentations: technical and conceptual tools, by Elisabetta Binaghi, Valentina Pedoia, Desiree Lattanzi, Emanuele Monti, Sergio Balbi, Renzo Minotto.- Analysis of the retinal nerve fiber layer texture related to the thickness measured by optical coherence tomography, by J. Odstrcilik, R. Kolar, R.P. Tornow, A. Budai, J. Jan, P. Mackova, M. Vodakova.- Continuum mechanics meets echocardiographic imaging: investigation on the principal strain lines in human left ventricle, by A. Evangelista, S. Gabriele, P. Nardinocchi, P. Piras, P.E. Puddu, L. Teresi, C. Torromeo, V. Varano.- A GPU accelerated algorithm for blood detection in wireless capsule endoscopy images, by Sunil Kumar, Isabel N. Figueiredo, Carlos Graзa, Gabriel Falcгo.- Automated image mining in fMRI Reports: a meta-research study, by N. Gonзalves, G. Vranou, R. Vigбrio.- Visual pattern recognition framework based on the best rank tensor decomposition, by B. Cyganek.- Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method, by B. Taboada, F. C. Monteiro, R. Lima.- A 3D computed tomography based tool for orthopedic surgery planning, by Joгo Ribeiro, Victor Alves, Sara Silva, Jaime Campos.- Preoperative planning of surgical treatment with the use of 3D visualization and finite element method, by Wolański Wojciech, Gzik-Zroska Bożena, Kawlewska Edyta, Gzik Marek, Dzielicki Jуzef, Larysz Dawid, Rudnik Adam.- Pretreatment and reconstruction of three-dimensional images applied in a locking reconstruction plate for a structural analysis with FEA, by Joгo Paulo O. Freitas, Edson A. Capello de Sousa, Cesar R. Foschini, Rogerio R. Santos, Sheila C. Rahal.- Tortuosity influence on the trabecular bone elasticity and mechanical competence, by Waldir Leite Roque, Angel Alberich-Bayarri.- Influence of beam hardening artifact in bone interface contact evaluation by 3D X-ray microtomography, by I. Lima, M. Marquezan, M. M. G. Souza, E. F. Sant'Anna, R. T. Lopes.- Anisotropy estimation of trabecular bone in gray-scale: comparison between cone beam and micro computed tomography data, by Rodrigo Moreno, Magnus Borga, Eva Klintstrцm, Torkel Brismar, Цrjan Smedby.- Fractured bone identification from CT images, fragment separation and fracture zone detection, by Fйlix Paulano, Juan J. Jimйnez, Rubйn Pulido.- On evolutionary integral models for image restoration, by E. Cuesta, A. Durбn, M. Kirane.- Colour image quantisation using KM and KHM clustering techniques with outlier-based initialization, by Henryk Palus, Mariusz Frackiewicz.- A study of a firefly meta-heuristics for multithreshold image segmentation, by H. Erdmann, G. Wachs-Lopes, C. Gallгo, M. P. Ribeiro, P. S. Rodrigues.- Visual-inertial 2D feature tracking based on an affine photometric model, by Dominik Aufderheide, Gerard Edwards and Werner Krybus.- Inferring heading direction from silhouettes, by Amina Bensebaa, Slimane Larabi, Neil M. Robertson.- A fast and accurate algorithm for detecting and tracking moving hand gestures, by Walter C. S. S. Simхes, Ricardo da S. Barboza, Vicente F. de Lucena Jr., Rafael D. Lins.- Hand gesture recognition system based in computer vision and machine learning, by Paulo Trigueiros, Fernando Ribeiro, Luнs Paulo Reis.- 3D Scanning using RGBD imaging devices: a survey, by Eduardo E. Hitomi, Jorge V. L. Silva, Guilherme C. S. Ruppert.


Advances in Computational Intelligence

Автор: Ildar Batyrshin; Miguel Gonz?lez Mendoza
Название: Advances in Computational Intelligence
ISBN: 3642377971 ISBN-13(EAN): 9783642377976
Издательство: Springer
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Цена: 46570.00 T
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Описание: The two-volume set LNAI 7629 and LNAI 7630 constitutes the refereed proceedings of the 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, held in San Luis Potosi, Mexico, in October/November 2012. The 80 revised papers presented were carefully reviewed and selected from 224 submissions.

Advances in Computational Collective Intelligence: 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 - December 3, 2020, Procee

Автор: Hernes Marcin, Wojtkiewicz Krystian, Szczerbicki Edward
Название: Advances in Computational Collective Intelligence: 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 - December 3, 2020, Procee
ISBN: 3030631184 ISBN-13(EAN): 9783030631185
Издательство: Springer
Цена: 93160.00 T
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Описание: This book constitutes refereed proceedings of the 12th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November - December 2020. intelligent management information systems; intelligent modeling and simulation approaches for games and real world systems;

Unifying Perspectives in Computational and Robot Vision

Автор: Danica Kragic; Ville Kyrki
Название: Unifying Perspectives in Computational and Robot Vision
ISBN: 1441945350 ISBN-13(EAN): 9781441945358
Издательство: Springer
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Цена: 130430.00 T
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Описание: Assembled in this volume is a collection of some of the state-of-the-art methods that are using computer vision and machine learning techniques as applied in robotic applications. Currently there is a gap between research conducted in the computer vision and robotics communities.

Efficiency And Scalability Methods For Computational Intellect

Автор: Igelnik & Zurada
Название: Efficiency And Scalability Methods For Computational Intellect
ISBN: 1466639423 ISBN-13(EAN): 9781466639423
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Computational modelling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area. <em>Efficiency and Scalability Methods for Computational Intellect</em> presents various theories and methods for approaching the problem of modelling and simulating intellect in order to target computation efficiency and scalability of proposed methods. Researchers, instructors, and graduate students will benefit from this current research and will in turn be able to apply the knowledge in an effective manner to gain an understanding of how to improve this field.

Understanding and Applying Machine Vision, Second Edition, Revised and Expanded

Автор: Zeuch
Название: Understanding and Applying Machine Vision, Second Edition, Revised and Expanded
ISBN: 0824789296 ISBN-13(EAN): 9780824789299
Издательство: Taylor&Francis
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Цена: 234790.00 T
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Описание: A discussion of applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries. It describes systems that enable projects to move forward swiftly and efficiently, and focuses on the nuances of the engineering and system integration of machine vision technology.


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