Spectral Geometry of Shapes

Produk Detail:
  • Author : Jing Hua
  • Publisher : Academic Press
  • Pages : 195 pages
  • ISBN : 0128138424
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Spectral Geometry of Shapes

Download or Read online Spectral Geometry of Shapes full in PDF, ePub and kindle. this book written by Jing Hua and published by Academic Press which was released on 15 January 2020 with total page 195 pages. We cannot guarantee that Spectral Geometry of Shapes book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Spectral Geometry of Shapes

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

Shape Optimization and Spectral Theory

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

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 BOOK Partitioning 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

On Perturbative Methods in Spectral Geometry

On Perturbative Methods in Spectral Geometry
  • Author : Mikhail Panine
  • Publisher : Unknown
  • Release : 26 November 2021
GET THIS BOOK On Perturbative Methods in Spectral Geometry

The goal of spectral geometry is to establish how much information about the geometry of compact Riemannian manifolds is contained in the spectra of natural differential operators, especially Laplacians, defined on them. Ideally, one would like to be able to recover the Riemannian manifold, up to isometry, from the spectra of one or several such operators. This would be a very powerful result, as it would introduce an invariant way to describe the shape of Riemannian manifolds. The consequences of

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 BOOK Processing 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 BOOK Processing 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

Diffusion Driven Wavelet Design for Shape Analysis

Diffusion Driven Wavelet Design for Shape Analysis
  • Author : Tingbo Hou,Hong Qin
  • Publisher : CRC Press
  • Release : 22 October 2014
GET THIS BOOK Diffusion Driven Wavelet Design for Shape Analysis

From Design Methods and Generation Schemes to State-of-the-Art Applications Wavelets are powerful tools for functional analysis and geometry processing, enabling researchers to determine the structure of data and analyze 3D shapes. Suitable for researchers in computer graphics, computer vision, visualization, medical imaging, and geometric modeling as well as graduate and senior undergraduate students in computer science, Diffusion-Driven Wavelet Design for Shape Analysis presents recent research results in wavelet designs on 3D shapes and their applications in shape analysis. It explains

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  • Author : Sebastien Ourselin,Leo Joskowicz,Mert R. Sabuncu,Gozde Unal,William Wells
  • Publisher : Springer
  • Release : 17 October 2016
GET THIS BOOK Medical 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;

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  • Author : G. De Giacomo,A. Catala,B. Dilkina
  • Publisher : IOS Press
  • Release : 11 September 2020
GET THIS BOOK ECAI 2020

This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology.

Innovations for Shape Analysis

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  • Author : Michael Breuß,Alfred Bruckstein,Petros Maragos
  • Publisher : Springer Science & Business Media
  • Release : 04 April 2013
GET THIS BOOK Innovations for Shape Analysis

The concept of 'shape' is at the heart of image processing and computer vision, yet researchers still have some way to go to replicate the human brain's ability to extrapolate meaning from the most basic of outlines. This volume reflects the advances of the last decade, which have also opened up tough new challenges in image processing. Today's applications require flexible models as well as efficient, mathematically justified algorithms that allow data processing within an acceptable timeframe. Examining important topics

Image Analysis and Recognition

Image Analysis and Recognition
  • Author : Mohamed Kamel,Aurelio Campilho
  • Publisher : Springer
  • Release : 05 June 2013
GET THIS BOOK Image Analysis and Recognition

This book constitutes the thoroughly refereed proceedings of the 10th International Conference on Image Analysis and Recognition, ICIAR 2013, held in Póvoa do Varzim, Portugal, in June 2013, The 92 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in topical sections on biometrics: behavioral; biometrics: physiological; classification and regression; object recognition; image processing and analysis: representations and models, compression, enhancement , feature detection and segmentation; 3D image analysis; tracking; medical imaging: image segmentation, image registration, image

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  • Author : Alfred M. Bruckstein,Bart M. ter Haar Romeny,Alexander M. Bronstein,Michael M. Bronstein
  • Publisher : Springer
  • Release : 03 January 2012
GET THIS BOOK Scale Space and Variational Methods in Computer Vision

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2011, held in Ein-Gedi, Israel in May/June 2011. The 24 revised full papers presented together with 44 poster papers were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on denoising and enhancement, segmentation, image representation and invariants, shape analysis, and optical flow.