Energy minimization methods in computer vision and pattern recognition : Second International Workshop, EMMCVPR 99 York, UK, July 26 29, 1999 : proceedings

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Collectivité auteur: International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition :York, Grande-Bretagne
Autres auteurs: Pelillo, Marcello (Directeur de la publication), Hancock, Edwin R., 1956- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Collection:Lecture notes in computer science 1654
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Edition sous un autre format:• Energy minimization methods in computer vision and pattern recognition, Second International Workshop, EMMCVPR'99, York, UK, July 26-29, 1999, proceedings, Edwin R. Hancock, Marcello Pelillo, (eds.), 1999, Berlin, Springer, 1 vol. (IX-330 p.), Lecture notes in computer science, 3-540-66294-4
• Energy Minimization Methods in Computer Vision and Pattern Recognition, Texte imprimé, 9783662182376
Table des matières:
  • Shape
  • A Hamiltonian Approach to the Eikonal Equation
  • Topographic Surface Structure from 2D Images Using Shape-from-Shading
  • Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization
  • Deformation Energy for Size Functions
  • Minimum Description Length
  • On Fitting Mixture Models
  • Bayesian Models for Finding and Grouping Junctions
  • Markov Random Fields
  • Semi-iterative Inferences with Hierarchical Energy-Based Models for Image Analysis
  • Metropolis vs Kawasaki Dynamic for Image Segmentation Based on Gibbs Models
  • Hyperparameter Estimation for Satellite Image Restoration by a MCMCML Method
  • Auxiliary Variables for Markov Random Fields with Higher Order Interactions
  • Unsupervised Multispectral Image Segmentation Using Generalized Gaussian Noise Model
  • Contours
  • Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
  • Adaptive Pixel-Based Data Fusion for Boundary Detection
  • Search and Consistent Labeling
  • Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking
  • A New Algorithm for Energy Minimization with Discontinuities
  • Convergence of a Hill Climbing Genetic Algorithm for Graph Matching
  • A New Distance Measure for Non-rigid Image Matching
  • Continuous-Time Relaxation Labeling Processes
  • Tracking and Video
  • Realistic Animation Using Extended Adaptive Mesh for Model Based Coding
  • Maximum Likelihood Inference of 3D Structure from Image Sequences
  • Biomedical Applications
  • Magnetic Resonance Imaging Based Correction and Reconstruction of Positron Emission Tomography Images
  • Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm4.