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Handbook of Mathematical Models in Computer Vision

Visual perception refers to the ability of understanding the visual information that is provided by the environment. Such a mechanism integrates several human abilities and was studied by many researchers with different scientific origins including philosophy, physiology, biology, neurobiology, math...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Paragios, Nikos (Editor ), Chen, Yunmei (Editor ), Faugeras, Olivier D. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Image Reconstruction
  • Diffusion Filters and Wavelets: What Can They Learn from Each Other?
  • Total Variation Image Restoration: Overview and Recent Developments
  • PDE-Based Image and Surface Inpainting
  • Boundary Exraction, Segmentation and Grouping
  • Levelings: Theory and Practice
  • Graph Cuts in Vision and Graphics: Theories and Applications
  • Minimal Paths and Fast Marching Methods for Image Analysis
  • Integrating Shape and Texture in DeformabIe Models: from Hybrid Methods to Metamorphs
  • Variational Segmentation with Shape Priors
  • Curve Propagation, Level Set Methods and Grouping
  • On a Stochastic Model of Geometric Snakes
  • Shape Modeling & Registration
  • Invariant Processing and Occlusion Resistant Recognition of Planar Shapes
  • Planar Shape Analysis and Its Applications in Image-Based Inferences
  • Diffeomorphic Point Matching
  • Uncertainty-Driven, Point-Based Image Registration
  • Motion Analysis, Optical Flow & Tracking
  • Optical Flow Estimation
  • From Bayes to PDEs in Image Warping
  • Image Alignment and Stitching
  • Visual Tracking: A Short Research Roadmap
  • Shape Gradient for Image and Video Segmentation
  • Model-Based Human Motion Capture
  • Modeling Dynamic Scenes: An Overview of Dynamic Textures
  • 3D from Images, Projective Geometry & Stereo Reconstruction
  • Differential Geometry from the Frenet Point of View: Boundary Detection, Stereo, Texture and Color
  • Shape From Shading
  • 3D from Image Sequences: Calibration, Motion and Shape Recovery
  • Multi-view Reconstruction of Static and Dynamic Scenes
  • Graph Cut Algorithms for Binocular Stereo with Occlusions
  • Modelling Non-Rigid Dynamic Scenes from Multi-View Image Sequences
  • Applications: Medical Image Analysis
  • Interactive Graph-Based Segmentation Methods in Cardiovascular Imaging
  • 3D Active Shape and Appearance Models in Cardiac Image Analysis
  • Characterization of Diffusion Anisotropy in DWI
  • Segmentation of Diffusion Tensor Images
  • Variational Approaches to the Estimation, Regularizatinn and Segmentation of Diffusion Tensor Images
  • An Introduction to Statistical Methods of Medical Image Registration.