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Mathematics of Shapes and Applications

by Kushnarev Sergey

A mathematical toolkit for studying shape

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Hardcover New English

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AlbakiReads Editorial

A mathematical toolkit for studying shape

This volume brings together theoretical and applied work on how shapes can be represented, transformed, and compared. Its subject spans applied mathematics, statistics, and computer science, with contributions on the geometry of shape spaces, models of shape evolution, computational methods, and statistical analysis of shape datasets. The applications include computer vision, object recognition, medical imaging, and computational anatomy; the description also notes work examining how cognitive diseases affect brain geometry. The book grew out of a 2016 program at the Institute for Mathematical Sciences at the National University of Singapore, giving the collection a cross-disciplinary scope grounded in both mathematical questions and practical uses.

Good fit for readers who enjoy

  • Researchers and graduate-level readers in applied mathematics, statistics, or computer science interested in shape analysis.
  • Readers working in computer vision, medical imaging, or computational anatomy.
  • Those seeking a collection that connects mathematical theory with computational and biomedical applications.

Themes

Shape analysisGeometry of shape spacesShape evolutionStatistical and computational methodsMedical imaging and computational anatomy

Based on publisher information and book metadata.

Book overview

Understanding how a single shape can incur a complex range of transformations, while defining the same perceptually obvious figure, entails a rich and challenging collection of problems, at the interface between applied mathematics, statistics and computer science. The program on Mathematics of Shapes and Applications, was held at the Institute for Mathematical Sciences at the National University of Singapore in 2016. It provided discussions on theoretical developments and numerous applications in computer vision, object recognition and medical imaging.

The analysis of shapes is an example of a mathematical problem directly connected with applications while offering deep open challenges to theoretical mathematicians. It has grown, over the past decades, into an interdisciplinary area in which researchers studying infinite-dimensional Riemannian manifolds (global analysis) interact with applied mathematicians, statisticians, computer scientists and biomedical engineers on a variety of problems involving shapes.

The volume illustrates this wealth of subjects by providing new contributions on the metric structure of diffeomorphism groups and shape spaces, recent developments on deterministic and stochastic models of shape evolution, new computational methods manipulating shapes, and new statistical tools to analyze shape datasets. In addition to these contributions, applications of shape analysis to medical imaging and computational anatomy are discussed, leading, in particular, to improved understanding of the impact of cognitive diseases on the geometry of the brain.

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