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Verlag: Springer, 2003
ISBN 10: 0387954880ISBN 13: 9780387954882
Buch
Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.
Mehr Angebote von anderen Verkäufern bei ZVAB
Neu ab EUR 127,03
Gebraucht ab EUR 52,91
Mehr entdecken Hardcover
Verlag: Springer, 2015
ISBN 10: 0387097481ISBN 13: 9780387097480
Anbieter: SpringBooks, Berlin, Deutschland
Buch
Hardcover. Zustand: As New. like new.
Mehr Angebote von anderen Verkäufern bei ZVAB
Neu ab EUR 217,00
Gebraucht ab EUR 55,13
Mehr entdecken Hardcover
Verlag: Springer Berlin Heidelberg, 2005
ISBN 10: 3540293485ISBN 13: 9783540293484
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mathematical methods has been a dominant research path in computational vision leading to a number of areas like ltering, segmentation, motion analysis and stereo reconstruction. Within such a branch visual perception tasks can either be addressed through the introduction of application-driven geometric ows or through the minimization of problem-driven cost functions where their lowest potential corresponds to image understanding. The 3rd IEEE Workshop on Variational, Geometric and Level Set Methods focused on these novel mathematical techniques and their applications to c- puter vision problems. To this end, from a substantial number of submissions, 30 high-quality papers were selected after a fully blind review process covering a large spectrum of computer-aided visual understanding of the environment. The papers are organized into four thematic areas: (i) Image Filtering and Reconstruction, (ii) Segmentation and Grouping, (iii) Registration and Motion Analysis and (iiii) 3D and Reconstruction. In the rst area solutions to image enhancement, inpainting and compression are presented, while more advanced applications like model-free and model-based segmentation are presented in the segmentation area. Registration of curves and images as well as multi-frame segmentation and tracking are part of the motion understanding track, while - troducing computationalprocessesinmanifolds,shapefromshading,calibration and stereo reconstruction are part of the 3D track. We hope that the material presented in the proceedings exceeds your exp- tations and will in uence your research directions in the future. We would like to acknowledge the support of the Imaging and Visualization Department of Siemens Corporate Research for sponsoring the Best Student Paper Award.
Verlag: Springer Berlin Heidelberg 2010-08-30, Berlin, 2010
ISBN 10: 364215560XISBN 13: 9783642155604
Anbieter: Blackwell's, London, Vereinigtes Königreich
Buch
paperback. Zustand: New. Language: ENG.
Verlag: Springer Berlin Heidelberg 2010-08-30, Berlin, 2010
ISBN 10: 3642155510ISBN 13: 9783642155512
Anbieter: Blackwell's, London, Vereinigtes Königreich
Buch
paperback. Zustand: New. Language: ENG.
Verlag: Springer Berlin Heidelberg 2010-08-30, Berlin, 2010
ISBN 10: 3642155480ISBN 13: 9783642155482
Anbieter: Blackwell's, London, Vereinigtes Königreich
Buch
paperback. Zustand: New. Language: ENG.
Verlag: Springer Berlin Heidelberg 2010-08-30, Berlin, 2010
ISBN 10: 3642155669ISBN 13: 9783642155666
Anbieter: Blackwell's, London, Vereinigtes Königreich
Buch
paperback. Zustand: New. Language: ENG.
Verlag: Springer Berlin Heidelberg 2010-08-30, Berlin, 2010
ISBN 10: 3642155545ISBN 13: 9783642155543
Anbieter: Blackwell's, London, Vereinigtes Königreich
Buch
paperback. Zustand: New. Language: ENG.
Verlag: Springer US, 2010
ISBN 10: 1441938850ISBN 13: 9781441938855
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest.
Verlag: Springer New York, 2011
ISBN 10: 144193023XISBN 13: 9781441930231
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Here is, for the first time, a book thatclearly explains and applies new level set methods to problems and applications in computer vision, graphics, and imaging. It is an essential compilation of survey chapters from the leading researchers in the field.The applications of the methods are emphasized.
Verlag: Springer US, 2005
ISBN 10: 0387263713ISBN 13: 9780387263717
Anbieter: moluna, Greven, Deutschland
Buch
Zustand: New. The most comprehensive, up-to-date treatment of computational vision topicsSix thematic areas provide answers to the most dominant questions of computational visionAbstract Biological vision is a rather fascinating domain of research. Scie.
Verlag: Springer US, 2016
ISBN 10: 1489977759ISBN 13: 9781489977755
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains the process of computer assisted biomedical image analysis diagnosis through mathematical modeling and inference of image-based bio-markers. It covers five crucial thematic areas: methodologies, statistical and physiological models, biomedical perception, clinical biomarkers, and emerging modalities and domains. The dominant state-of-the-art methodologies for content extraction and interpretation of medical images include fuzzy methods, level set methods, kernel methods, and geometric deformable models. The models and techniques discussed are used in the diagnosis, planning, control and follow-up of medical procedures. Throughout the book, challenges and limitations are explored along with new research directions.Handbook of Biomedical Imaging offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done and how the most appropriate techniques are used to address demands and diagnoses. Radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors will find this to be an exceptional reference.