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  • Produktbild: Energy Minimization Methods in Computer Vision and Pattern Recognition
  • Produktbild: Energy Minimization Methods in Computer Vision and Pattern Recognition
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Energy Minimization Methods in Computer Vision and Pattern Recognition International Workshop EMMCVPR'97, Venice, Italy, May 21-23, 1997, Proceedings

Aus der Reihe Lecture Notes in Computer Science

51,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.04.1997

Abbildungen

XII, 556 p.

Herausgeber

Marcello Pelillo + weitere

Verlag

Springer Berlin

Seitenzahl

556

Maße (L/B/H)

23,5/15,5/3,1 cm

Gewicht

850 g

Auflage

1997

Sprache

Englisch

ISBN

978-3-540-62909-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.04.1997

Abbildungen

XII, 556 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

556

Maße (L/B/H)

23,5/15,5/3,1 cm

Gewicht

850 g

Auflage

1997

Sprache

Englisch

ISBN

978-3-540-62909-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Energy Minimization Methods in Computer Vision and Pattern Recognition
  • Produktbild: Energy Minimization Methods in Computer Vision and Pattern Recognition
  • Reliable computation and related games.- Characterizing the distribution of completion shapes with corners using a mixture of random processes.- Adaptive parametrically deformable contours.- Kona: A multi-junction detector using minimum description length principle.- Restoration of SAR images using recovery of discontinuities and non-linear optimization.- Geometrically deformable templates for shape-based segmentation and tracking in cardiac MR images.- Image segmentation via energy minimization on partitions with connected components.- Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound gauss Markov random fields.- Maximum likelihood estimation of Markov Random Field parameters using Markov Chain Monte Carlo algorithms.- Noniterative manipulation of discrete energy-based models for image analysis.- Unsupervised image segmentation using Markov Random Field models.- Adaptive anisotropic parameter estimation in the weak membrane model.- Twenty questions, focus of attention, and A*: A theoretical comparison of optimization strategies.- Deterministic annealing for unsupervised texture segmentation.- Self annealing: Unifying deterministic annealing and relaxation labeling.- Multidimensional scaling by deterministic annealing.- Deterministic search strategies for relational graph matching.- Object localization using color, texture and shape.- Visual deconstruction: Recognizing articulated objects.- Optimization problems in statistical object recognition.- Object recognition using stochastic optimization.- Genetic algorithms for ambiguous labelling problems.- Toward global solution to MAP image estimation: Using Common structure of local solutions.- Figure-ground separation: A case study in energy minimizationvia evolutionary computing.- Probabilistic relaxation: Potential, relationships and open problems.- A region-level motion-based graph representation and labeling for tracking a spatial image partition.- An expectation-maximisation approach to graph matching.- An energy minimization method for matching and comparing structured object representations.- Consistent modeling of terrain and drainage using deformable models.- Integration of confidence information by Markov Random Fields for reconstruction of underwater 3D acoustic images.- Unsupervised segmentation applied on sonar images.- SAR image registration and segmentation using an estimated DEM.- Deformable templates for tracking and analysis of intravascular ultrasound sequences.- Motion correspondence through energy minimization.