Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition
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Published By Springer Berlin Heidelberg

9783540662945, 9783540484325

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Bayesian Models for Finding and Grouping Junctions

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-48432-9_6 ◽

1999 ◽

pp. 70-82 ◽

Cited By ~ 3

Author(s):

M. A. Cazorla ◽

F. Escolano ◽

D. Gallardo ◽

R. Rizo

Keyword(s):

Bayesian Models

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A Hamiltonian Approach to the Eikonal Equation

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-48432-9_1 ◽

1999 ◽

pp. 1-13 ◽

Cited By ~ 9

Author(s):

Kaleem Siddiqi ◽

Allen Tannenbaum ◽

Steven W. Zucker

Keyword(s):

Eikonal Equation ◽

Hamiltonian Approach

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Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-48432-9_3 ◽

1999 ◽

pp. 30-43 ◽

Cited By ~ 5

Author(s):

Dongmei Zhang ◽

Martial Hebert

Keyword(s):

Energy Minimization ◽

Free Form ◽

Free Form Surfaces

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Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm4

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-48432-9_22 ◽

1999 ◽

pp. 317-330 ◽

Cited By ~ 3

Author(s):

Markus Svensén ◽

Frithjof Kruggel ◽

D. Yves von Cramon

Keyword(s):

Random Field ◽

Markov Random Field ◽

Mean Field ◽

Fmri Data ◽

Field Modelling ◽

Markov Random

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A New Distance Measure for Non-rigid Image Matching

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-48432-9_17 ◽

1999 ◽

pp. 237-252 ◽

Cited By ~ 4

Author(s):

Anand Rangarajan ◽

Haili Chui ◽

Eric Mjolsness

Keyword(s):

Image Matching ◽

Distance Measure

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Convergence of a Hill Climbing Genetic Algorithm for Graph Matching

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-48432-9_16 ◽

1999 ◽

pp. 221-236 ◽

Cited By ~ 1

Author(s):

Andrew D. J. Cross ◽

Edwin R. Hancock

Keyword(s):

Genetic Algorithm ◽

Graph Matching ◽

Hill Climbing

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Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-48432-9_14 ◽

1999 ◽

pp. 189-204 ◽

Cited By ~ 5

Author(s):

James M. Coughlan ◽

A. L. Yuille

Keyword(s):

Convergence Rates ◽

Tree Search

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Deformation Energy for Size Functions

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-48432-9_4 ◽

1999 ◽

pp. 44-53 ◽

Cited By ~ 4

Author(s):

Pietro Donatini ◽

Patrizio Frosini ◽

Claudia Landi

Keyword(s):

Deformation Energy

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A New Algorithm for Energy Minimization with Discontinuities

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-48432-9_15 ◽

1999 ◽

pp. 205-220 ◽

Cited By ~ 10

Author(s):

Yuri Boykov ◽

Olga Veksler ◽

Ramin Zabih

Keyword(s):

Energy Minimization

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Auxiliary Variables for Markov Random Fields with Higher Order Interactions

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-48432-9_10 ◽

1999 ◽

pp. 131-142 ◽

Cited By ~ 1

Author(s):

Robin D. Morris

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Higher Order ◽

Auxiliary Variables ◽

Markov Random

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Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern RecognitionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Bayesian Models for Finding and Grouping Junctions

A Hamiltonian Approach to the Eikonal Equation

Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization

Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm4

A New Distance Measure for Non-rigid Image Matching

Convergence of a Hill Climbing Genetic Algorithm for Graph Matching

Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking

Deformation Energy for Size Functions

A New Algorithm for Energy Minimization with Discontinuities

Auxiliary Variables for Markov Random Fields with Higher Order Interactions

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition
Latest Publications