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001 978-3-540-69042-9
003 DE-He213
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007 cr nn 008mamaa
008 121227s1997 gw | s |||| 0|eng d
020 _a9783540690429
_9978-3-540-69042-9
024 7 _a10.1007/3-540-62909-2
_2doi
050 4 _aQ337.5
050 4 _aTK7882.P3
072 7 _aUYQP
_2bicssc
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.4
_223
245 1 0 _aEnergy Minimization Methods in Computer Vision and Pattern Recognition
_h[electronic resource] :
_bInternational Workshop EMMCVPR'97 Venice, Italy, May 21–23, 1997 Proceedings /
_cedited by Marcello Pelillo, Edwin R. Hancock.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c1997.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c1997.
300 _aXII, 556 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v1223
505 0 _aReliable 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 minimization via 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.
520 _aThis book constitutes the refereed proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR'97, held in Venice, Italy, in May 1997. The book presents 29 revised full papers selected from a total of 62 submissions. Also included are four full invited papers and a keynote paper by leading researchers. The volume is organized in sections on contours and deformable models, Markov random fields, deterministic methods, object recognition, evolutionary search, structural models, and applications. The volume is the first comprehensive documentation of the application of energy minimization techniques in the areas of compiler vision and pattern recognition.
650 0 _aComputer science.
650 0 _aComputer software.
650 0 _aArtificial intelligence.
650 0 _aComputer graphics.
650 0 _aOptical pattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aPattern Recognition.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputer Graphics.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aComputation by Abstract Devices.
700 1 _aPelillo, Marcello.
_eeditor.
700 1 _aHancock, Edwin R.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540629092
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v1223
856 4 0 _uhttp://dx.doi.org/10.1007/3-540-62909-2
942 _2EBK7101
_cEBK
999 _c36395
_d36395