Krim / Yezzi Statistics and Analysis of Shapes
1. Auflage 2007
ISBN: 978-0-8176-4481-9
Verlag: Birkhäuser Boston
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 397 Seiten, Web PDF
Reihe: Mathematics and Statistics (R0)
ISBN: 978-0-8176-4481-9
Verlag: Birkhäuser Boston
Format: PDF
Kopierschutz: 1 - PDF Watermark
The subject of pattern analysis and recognition pervades many aspects of our daily lives, including user authentication in banking, object retrieval from databases in the consumer sector, and the omnipresent surveillance and security measures around sensitive areas. Shape analysis, a fundamental building block in many approaches to these applications, is also used in statistics, biomedical applications (Magnetic Resonance Imaging), and many other related disciplines.
With contributions from some of the leading experts and pioneers in the field, this self-contained, unified volume is the first comprehensive treatment of theory, methods, and algorithms available in a single resource. Developments are discussed from a rapidly increasing number of research papers in diverse fields, including the mathematical and physical sciences, engineering, and medicine.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Medial Axis Computation and Evolution.- Shape Variation of Medial Axis Representations via Principal Geodesic Analysis on Symmetric Spaces.- 2D Shape Modeling using Skeletal Graphs in a Morse Theoretic Framework.- Matching with Shape Contexts.- Shape Recognition Based on an a Contrario Methodology.- Integral Invariants and Shape Matching.- On the Representation of Shapes Using Implicit Functions.- Computing with Point Cloud Data.- Determining Intrinsic Dimension and Entropy of High-Dimensional Shape Spaces.- Object-Image Metrics for Generalized Weak Perspective Projection.- Wulff Shapes at Zero Temperature for Some Models Used in Image Processing.- Curve Shortening and Interacting Particle Systems.- Riemannian Structures on Shape Spaces: A Framework for Statistical Inferences.- Modeling Planar Shape Variation via Hamiltonian Flows of Curves.- Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics.
