
Perspectives in Shape Analysis by Michael Breu
This book presents recent advances in the field of shape analysis. Written by experts in the fields of continuous-scale shape analysis, discrete shape analysis and sparsity, and numerical computing who hail from different communities, it provides a unique view of the topic from a broad range of perspectives.Over the last decade, it has become increasingly affordable to digitize shape information at high resolution. Yet analyzing and processing this data remains challenging because of the large amount of data involved, and because modern applications such as human-computer interaction require real-time processing. Meeting these challenges requires interdisciplinary approaches that combine concepts from a variety of research areas, including numerical computing, differential geometry, deformable shape modeling, sparse data representation, and machine learning. On the algorithmic side, many shape analysis tasks are modeled using partial differential equations, which can be solved using tools from the field of numerical computing. The fields of differential geometry and deformable shape modeling have recently begun to influence shape analysis methods. Furthermore, tools from the field of sparse representations, which aim to describe input data using a compressible representation with respect to a set of carefully selected basic elements, have the potential to significantly reduce the amount of data that needs to be processed in shape analysis tasks. The related field of machine learning offers similar potential.
The goal of the Dagstuhl Seminar on New Perspectives in Shape Analysis held in February 2014 was to address these challenges with the help of the latest tools related to geometric, algorithmic and numerical concepts and to bring together researchers at the forefront of shape analysis who can work together to identify open problems and novel solutions. The book resulting from this seminar will appeal to researchers in the field of shape analysis, image and vision, from those who want to become more familiar with the field, to experts interested in learning about the latest advances.
-
In Situ Visualization for Computational Science
-
Hierarchical and Geometrical Methods in Scientific Visualization
-
Multimedia Tools for Communicating Mathematics
-
Computational Line Geometry
-
Geometric Methods in Bio-Medical Image Processing
-
Computational Diffusion MRI and Brain Connectivity
-
Visualization in Medicine and Life Sciences
-
New Developments in the Visualization and Processing of Tensor Fields
-
Triangulations and Applications
-
Topological Methods in Data Analysis and Visualization III
-
Visualization and Processing of Tensor Fields
-
Shape Analysis and Structuring
-
Advances in Multiresolution for Geometric Modelling
-
Image Processing Based on Partial Differential Equations
-
Geometric Modeling for Scientific Visualization
-
Mathematics and Art
-
GPU-Based Interactive Visualization Techniques
-
Computational Diffusion MRI
-
Visualization in Medicine and Life Sciences II
-
Imaging, Vision and Learning Based on Optimization and PDEs
-
Topological Methods in Data Analysis and Visualization
-
Topology-Based Methods in Visualization II
-
Visualization in Medicine and Life Sciences III
-
Topological Methods in Data Analysis and Visualization VI
-
Topological and Statistical Methods for Complex Data
-
Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data
-
Modeling, Analysis, and Visualization of Anisotropy
-
Topological Methods in Data Analysis and Visualization IV
-
Bezier and B-Spline Techniques
-
Topological Data Analysis for Scientific Visualization
-
Eye Tracking and Visualization
-
Scientific Visualization: The Visual Extraction of Knowledge from Data
-
VizSEC 2007
Professor Fensel is the scientific director of DERI at the National University of Ireland, Galway, based on a large grant acquired from Science Foundation Ireland (SFI). His current research interests include Ontologies, semantic web, web services, knowledge management, enterprise application integration, and electronic commerce. He is a major scientific player in the area of the semantic web and has authored and co-edited 9 books, and more than 150 publications in journals and conferences. He is associate editor of the Knowledge and Information Systems: An International Journal (KAIS), IEEE Intelligent Systems, the Electronic Transactions on Artificial Intelligence (ETAI), Web Intelligence and Agent Systems (WIAS), Elsevier's Journal on Web Semantics: Science, Services and Agents on the World Wide Web and the Lecture Notes in Computer Science (LNCS) subline entitled Semantics in Data Management.
| SKU | Unavailable |
| ISBN 13 | 9783319796673 |
| ISBN 10 | 3319796674 |
| Title | Perspectives in Shape Analysis |
| Author | Alfred Bruckstein |
| Series | Mathematics And Visualization |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2018-06-14 |
| Number of pages | 370 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
































