Spectral Geometry of Shapes

Spectral Geometry of Shapes presents unique shape analysis approaches based on shape spectrum in differential geometry. It provides insights on how to develop geometry-based methods for 3D shape analysis. The book is an ideal learning resource for graduate students and researchers in computer science, computer engineering and applied mathematics who have an interest in 3D shape analysis, shape motion analysis, image analysis, medical image analysis, computer vision and computer graphics. Due to the rapid advancement of 3D acquisition technologies there has been a big increase in 3D shape data that requires a variety of shape analysis methods, hence the need for this comprehensive resource. Presents the latest advances in spectral geometric processing for 3D shape analysis applications, such as shape classification, shape matching, medical imaging, etc. Provides intuitive links between fundamental geometric theories and real-world applications, thus bridging the gap between theory and practice Describes new theoretical breakthroughs in applying spectral methods for non-isometric motion analysis Gives insights for developing spectral geometry-based approaches for 3D shape analysis and deep learning of shape geometry

Produk Detail:

  • Author : Jing Hua
  • Publisher : Academic Press
  • Pages : 195 pages
  • ISBN : 0128138424
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKSpectral Geometry of Shapes

Spectral Geometry of Shapes

Spectral Geometry of Shapes
  • Author : Jing Hua,Zichun Zhong
  • Publisher : Academic Press
  • Release : 15 January 2020
GET THIS BOOKSpectral Geometry of Shapes

Spectral Geometry of Shapes presents unique shape analysis approaches based on shape spectrum in differential geometry. It provides insights on how to develop geometry-based methods for 3D shape analysis. The book is an ideal learning resource for graduate students and researchers in computer science, computer engineering and applied mathematics who have an interest in 3D shape analysis, shape motion analysis, image analysis, medical image analysis, computer vision and computer graphics. Due to the rapid advancement of 3D acquisition technologies there

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016
  • Author : Sebastien Ourselin,Leo Joskowicz,Mert R. Sabuncu,Gozde Unal,William Wells
  • Publisher : Springer
  • Release : 17 October 2016
GET THIS BOOKMedical Image Computing and Computer-Assisted Intervention - MICCAI 2016

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions;

Processing, Analyzing and Learning of Images, Shapes, and Forms:

Processing, Analyzing and Learning of Images, Shapes, and Forms:
  • Author : Xue-Cheng Tai
  • Publisher : North Holland
  • Release : 01 October 2019
GET THIS BOOKProcessing, Analyzing and Learning of Images, Shapes, and Forms:

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 16 October 2019
GET THIS BOOKProcessing, Analyzing and Learning of Images, Shapes, and Forms: Part 2

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising

The Mathematical Structure of Stable Physical Systems

The Mathematical Structure of Stable Physical Systems
  • Author : Dr. Martin Concoyle & G.P. Coatmundi
  • Publisher : Trafford Publishing
  • Release : 02 July 2022
GET THIS BOOKThe Mathematical Structure of Stable Physical Systems

This book is an introduction to the simple math patterns used to describe fundamental, stable spectral-orbital physical systems (represented as discrete hyperbolic shapes), the containment set has many-dimensions, and these dimensions possess macroscopic geometric properties (which are also discrete hyperbolic shapes). Thus, it is a description which transcends the idea of materialism (ie it is higher-dimensional), and it can also be used to model a life-form as a unified, high-dimension, geometric construct, which generates its own energy, and which has

Partitioning a Many-Dimensional Containment Space

Partitioning a Many-Dimensional Containment Space
  • Author : Dr. Martin Concoyle
  • Publisher : Trafford Publishing
  • Release : 16 January 2014
GET THIS BOOKPartitioning a Many-Dimensional Containment Space

This book is an introduction to the simple math patterns used to describe fundamental, stable, spectral-orbital physical systems (represented as discrete hyperbolic shapes). The containment set has many dimensions, and these dimensions possess macroscopic geometric properties (which are discrete hyperbolic shapes). Thus, it is a description that transcends the idea of materialism (i.e., it is higher-dimensional), and it can also be used to model a life-form as a unified, high-dimension, geometric construct, which generates its own energy and which

Progress in Inverse Spectral Geometry

Progress in Inverse Spectral Geometry
  • Author : Stig I. Andersson,Michel L. Lapidus
  • Publisher : Birkhäuser
  • Release : 06 December 2012
GET THIS BOOKProgress in Inverse Spectral Geometry

Most polynomial growth on every half-space Re (z) ::::: c. Moreover, Op(t) depends holomorphically on t for Re t> O. General references for much of the material on the derivation of spectral functions, asymptotic expansions and analytic properties of spectral functions are [A-P-S] and [Sh], especially Chapter 2. To study the spectral functions and their relation to the geometry and topology of X, one could, for example, take the natural associated parabolic problem as a starting point. That is, consider the

Perturbing Material-Components on Stable Shapes

Perturbing Material-Components on Stable Shapes
  • Author : Martin Concoyle Ph.D.
  • Publisher : Trafford Publishing
  • Release : 16 January 2014
GET THIS BOOKPerturbing Material-Components on Stable Shapes

This book is an introduction to the simple math patterns that can be used to describe fundamental, stable spectral-orbital physical systems (represented as discrete hyperbolic shapes, i.e., hyperbolic space-forms), the containment set has many dimensions, and these dimensions possess macroscopic geometric properties (where hyperbolic metric-space subspaces are modeled to be discrete hyperbolic shapes). Thus, it is a description that transcends the idea of materialism (i.e., it is higher-dimensional so that the higher dimensions are not small), and it

Shape Optimization and Spectral Theory

Shape Optimization and Spectral Theory
  • Author : Antoine Henrot
  • Publisher : De Gruyter Open
  • Release : 08 May 2017
GET THIS BOOKShape Optimization and Spectral Theory

"Shape optimization and spectral theory" is a survey book aiming to give an overview of recent results in spectral geometry and its links with shape optimization. It covers most of the issues which are important for people working in PDE and differential geometry interested in sharp inequalities and qualitative behaviour for eigenvalues of the Laplacian with different kind of boundary conditions (Dirichlet, Robin and Steklov). This includes: existence of optimal shapes, their regularity, the case of special domains like triangles,

Numerical Geometry of Non-Rigid Shapes

Numerical Geometry of Non-Rigid Shapes
  • Author : Alexander M. Bronstein,Michael M. Bronstein,Ron Kimmel
  • Publisher : Springer Science & Business Media
  • Release : 18 September 2008
GET THIS BOOKNumerical Geometry of Non-Rigid Shapes

Deformable objects are ubiquitous in the world surrounding us, on all levels from micro to macro. The need to study such shapes and model their behavior arises in a wide spectrum of applications, ranging from medicine to security. In recent years, non-rigid shapes have attracted growing interest, which has led to rapid development of the field, where state-of-the-art results from very different sciences - theoretical and numerical geometry, optimization, linear algebra, graph theory, machine learning and computer graphics, to mention

Describing the Dynamics of "Free" Material Components in Higher-Dimensions

Describing the Dynamics of
  • Author : Dr. Martin Concoyle
  • Publisher : Trafford Publishing
  • Release : 02 July 2022
GET THIS BOOKDescribing the Dynamics of "Free" Material Components in Higher-Dimensions

The issue which the new ideas of these new books really raise with our culture, is not about whether they are true, since these new ideas identify a valid context for physical description, and whereas the current context for math and physics (2014) cannot do that, ie they cannot describe the stable properties of a general many-(but-few)-body system. Whereas the new ideas about math and physics can be used to solve the most fundamental problems about the physical world,