Variational, Geometric, and Level Set Methods in Computer Vision Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings /

Mathematical methods has been a dominant research path in computational vision leading to a number of areas like ?ltering, segmentation, motion analysis and stereo reconstruction. Within such a branch visual perception tasks can either be addressed through the introduction of application-driven geom...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Paragios, Nikos (Editor ), Faugeras, Olivier (Editor ), Chan, Tony (Editor ), Schnoerr, Christoph (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 3752
Temas:
Computer vision.
Image processing-Digital techniques.
Pattern recognition systems.
Artificial intelligence.
Algorithms.
Computer graphics.
Computer Vision.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Automated Pattern Recognition.
Artificial Intelligence.
Computer Graphics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • A Study of Non-smooth Convex Flow Decomposition
  • Denoising Tensors via Lie Group Flows
  • Nonlinear Inverse Scale Space Methods for Image Restoration
  • Towards PDE-Based Image Compression
  • Color Image Deblurring with Impulsive Noise
  • Using an Oriented PDE to Repair Image Textures
  • Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L 1 Functional
  • Structure-Texture Decomposition by a TV-Gabor Model
  • From Inpainting to Active Contours
  • Sobolev Active Contours
  • Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration
  • Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
  • Global Minimization of the Active Contour Model with TV-Inpainting and Two-Phase Denoising
  • Combined Geometric-Texture Image Classification
  • Heuristically Driven Front Propagation for Geodesic Paths Extraction
  • Trimap Segmentation for Fast and User-Friendly Alpha Matting
  • Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
  • Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation
  • Non-rigid Shape Comparison of Implicitly-Defined Curves
  • Incorporating Rigid Structures in Non-rigid Registration Using Triangular B-Splines
  • Geodesic Image Interpolation: Parameterizing and Interpolating Spatiotemporal Images
  • A Variational Approach for Object Contour Tracking
  • Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking
  • A Surface Reconstruction Method for Highly Noisy Point Clouds
  • A C 1 Globally Interpolatory Spline of Arbitrary Topology
  • Solving PDEs on Manifolds with Global Conformal Parametriazation
  • Fast Marching Method for Generic Shape from Shading
  • A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints
  • Regularization of Mappings Between Implicit Manifolds of Arbitrary Dimension and Codimension
  • Lens Distortion Calibration Using Level Sets.

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