Digital Geometry Algorithms_ Theoretical Foundations and Applications to Computational Imaging [Brimkov & Barneva 2012-05-21].pdf

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Lecture Notes in Computational Vision and Biomechanics
Editors
João Manuel R.S. Tavares
R.M. Natal Jorge
Address:
Faculdade de Engenharia
Universidade do Porto
Rua Dr. Roberto Frias, s/n
4200-465 Porto
Portugal
tavares@fe.up.pt, rnatal@fe.up.pt
Editorial Advisory Board
Alejandro Frangi, University of Sheffield, Sheffield, UK
Chandrajit Bajaj, University of Texas at Austin, Austin, USA
Eugenio Oñate, Universitat Politécnica de Catalunya, Barcelona, Spain
Francisco Perales, Balearic Islands University, Palma de Mallorca, Spain
Gerhard A. Holzapfel, Royal Institute of Technology, Stockholm, Sweden
J. Paulo Vilas-Boas, University of Porto, Porto, Portugal
Jeffrey A. Weiss, University of Utah, Salt Lake City, USA
John Middleton, Cardiff University, Cardiff, UK
Jose M. García Aznar, University of Zaragoza, Zaragoza, Spain
Perumal Nithiarasu, Swansea University, Swansea, UK
Kumar K. Tamma, University of Minnesota, Minneapolis, USA
Laurent Cohen, Université Paris Dauphine, Paris, France
Manuel Doblaré, Universidad de Zaragoza, Zaragoza, Spain
Patrick J. Prendergast, University of Dublin, Dublin, Ireland
Rainald Löhner, George Mason University, Fairfax, USA
Roger Kamm, Massachusetts Institute of Technology, Cambridge, USA
Thomas J.R. Hughes, University of Texas, Austin, USA
Yongjie Zhang, Carnegie Mellon University, Pittsburgh, USA
Yubo Fan, Beihang University, Beijing, China
For further volumes:
http://www.springer.com/series/8910
Lecture Notes in Computational Vision and Biomechanics
Volume 2
The research related to the analysis of living structures (Biomechanics) has been a source of recent re-
search in several distinct areas of science, for example, Mathematics, Mechanical Engineering, Physics,
Informatics, Medicine and Sport. However, for its successful achievement, numerous research topics
should be considered, such as image processing and analysis, geometric and numerical modelling,
biomechanics, experimental analysis, mechanobiology and enhanced visualization, and their applica-
tion to real cases must be developed and more investigation is needed. Additionally, enhanced hardware
solutions and less invasive devices are demanded.
On the other hand, Image Analysis (Computational Vision) is used for the extraction of high level
information from static images or dynamic image sequences. Examples of applications involving image
analysis can be the study of motion of structures from image sequences, shape reconstruction from
images and medical diagnosis. As a multidisciplinary area, Computational Vision considers techniques
and methods from other disciplines, such as Artificial Intelligence, Signal Processing, Mathematics,
Physics and Informatics. Despite the many research projects in this area, more robust and efficient
methods of Computational Imaging are still demanded in many application domains in Medicine, and
their validation in real scenarios is matter of urgency.
These two important and predominant branches of Science are increasingly considered to be strongly
connected and related. Hence, the main goal of the LNCV&B book series consists of the provision of a
comprehensive forum for discussion on the current state-of-the-art in these fields by emphasizing their
connection. The book series covers (but is not limited to):
•
Applications of Computational Vision and
Biomechanics
•
Biometrics and Biomedical Pattern Analysis
•
Cellular Imaging and Cellular Mechanics
•
Clinical Biomechanics
•
Computational Bioimaging and Visualization
•
Computational Biology in Biomedical Imaging
•
Development of Biomechanical Devices
•
Device and Technique Development for
Biomedical Imaging
•
Digital Geometry Algorithms for
Computational Vision and Visualization
•
Experimental Biomechanics
•
Gait & Posture Mechanics
•
Multiscale Analysis in Biomechanics
•
Neuromuscular Biomechanics
•
Numerical Methods for Living Tissues
•
Numerical Simulation
•
Software Development on Computational
Vision and Biomechanics
•
Grid and High Performance Computing for
Computational Vision and Biomechanics
•
Image-based Geometric Modeling and Mesh
Generation
•
Image Processing and Analysis
•
Image Processing and Visualization in
Biofluids
•
Image Understanding
•
Material Models
•
Mechanobiology
•
Medical Image Analysis
•
Molecular Mechanics
•
Multi-modal Image Systems
•
Multiscale Biosensors in Biomedical Imaging
•
Multiscale Devices and Biomems for
Biomedical Imaging
•
Musculoskeletal Biomechanics
•
Sport Biomechanics
•
Virtual Reality in Biomechanics
•
Vision Systems
Valentin E. Brimkov
r
Reneta P. Barneva
Editors
Digital Geometry
Algorithms
Theoretical Foundations and Applications
to Computational Imaging
Editors
Valentin E. Brimkov
Department of Mathematics
Buffalo State College
State University of New York
Buffalo, NY
USA
Reneta P. Barneva
Department of Computer and
Information Sciences
State University of New York at Fredonia
Fredonia, NY
USA
ISSN 2212-9391
ISSN 2212-9413 (electronic)
Lecture Notes in Computational Vision and Biomechanics
ISBN 978-94-007-4173-7
ISBN 978-94-007-4174-4 (eBook)
DOI 10.1007/978-94-007-4174-4
Springer Dordrecht Heidelberg New York London
Library of Congress Control Number: 2012939722
© Springer Science+Business Media Dordrecht 2012
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