Inicio > Matemáticas y ciencia > Matemáticas > Geometría > An Introduction to Laplacian Spectral Distances and Kernels
An Introduction to Laplacian Spectral Distances and Kernels

An Introduction to Laplacian Spectral Distances and Kernels

An Introduction to Laplacian Spectral Distances and Kernels

Giuseppe Patanè

63,01 €
IVA incluido
Consulta disponibilidad
Editorial:
Morgan and Claypool Publishers
Año de edición:
2017
Materia
Geometría
ISBN:
9781681731391

Selecciona una librería:

  • Donde los libros
  • Librería 7artes
  • Librería Elías (Asturias)
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

In geometry processing and shape analysis, several applications have been addressed through the properties of the Laplacian spectral kernels and distances, such as commute time, biharmonic, diffusion, and wave distances.Within this context, this book is intended to provide a common background on the definition and computation of the Laplacian spectral kernels and distances for geometry processing and shape analysis. To this end, we define a unified representation of the isotropic and anisotropic discrete Laplacian operator on surfaces and volumes; then, we introduce the associated differential equations, i.e., the harmonic equation, the Laplacian eigenproblem, and the heat equation. Filtering the Laplacian spectrum, we introduce the Laplacian spectral distances, which generalize the commute-time, biharmonic, diffusion, and wave distances, and their discretization in terms of the Laplacian spectrum. As main applications, we discuss the design of smooth functions and the Laplacian smoothing of noisy scalar functions.All the reviewed numerical schemes are discussed and compared in terms of robustness, approximation accuracy, and computational cost, thus supporting the reader in the selection of the most appropriate with respect to shape representation, computational resources, and target application. 3

Artículos relacionados

  • Applied Data Science with Python and Jupyter
    Alex Galea
    ...
    Disponible

    42,67 €

  • Individual and Collective Graph Mining
    Christos Faloutsos / Danai Koutra
    Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? ...
  • Representation, Inclusion, and Innovation
    Clayton Lewis
    A representation is a thing that can be interpreted as providing information about something: a map, or a graph, for example. This book is about the expanding world of computational representations, representations that use the power of computation to provide information in new forms, and in new ways. Unlike printed maps or graphs, computational representations can be dynamic, ...
  • User-Centered Evaluation of Visual Analytics
    Jean Scholtz
    Visual analytics has come a long way since its inception in 2005. The amount of data in the world today has increased significantly and experts in many domains are struggling to make sense of their data. Visual analytics is helping them conduct their analyses. While software developers have worked for many years to develop software that helps users do their tasks, this task is ...
  • Mastering Kibana 6.x
    Anurag Srivastava
    ...
    Disponible

    59,08 €

  • Hands-On Data Science with R
    Nataraj Dasgupta / Ricardo Anjoleto Farias / Vitor Bianchi Lanzetta
    ...
    Disponible

    59,57 €