Faugeras, O.D., and
Berthod, M.,
Improving Consistency and Reducing Ambiguity in Stochastic Labeling:
An Optimization Approach,
PAMI(3), No. 4, July 1981, pp. 412-424.
This paper describes the essence of the gradient optimization
approach to relaxation labeling. A global criterion is defined that combines
the concepts of ambiguity and consistency. The relaxation procedure is used to
minimize the criterion, by moving in the direction of the strongest gradient.
This basic technique was used by other researchers in matching problems as in
Bhanu (
See also Shape Matching of Two-Dimensional Objects. ) and
Faugeras-Price (
See also Semantic Description of Aerial Images Using Stochastic Labeling. ).
BibRef
8107
Faugeras, O.D., and
Berthod, M.,
Scene Labeling: An Optimization Approach,
PR(12), No. 5, 1980, pp. 339-347.
Elsevier DOI
BibRef
8000
Earlier:
PRIP79(318-326).
Relaxation, Theory.
BibRef
Faugeras, O.D.[Olivier D.],
Decomposition and Decentralization Techniques in Relaxation Labeling,
CGIP(16), No. 4, August 1981, pp. 341-355.
Elsevier DOI
BibRef
8108
Faugeras, O.D.[Olivier D.],
An Optimization Approach for Using Contextual Information in
Computer Vision,
AAAI-80(56-60).
BibRef
8000
Faugeras, O.D., and
Berthod, M.,
Using Context in the Global Recognition of a Set of Objects:
An Optimization Approach,
presented at the 8th World Computer Congress,
IFIP1980.
More of the basic optimization approach.
BibRef
8000
Yu, S.,
Berthod, M.,
A Game Strategy Approach for Image Labeling,
CVIU(61), No. 1, January 1995, pp. 32-37.
DOI Link
BibRef
9501
Berthod, M.,
Semi-Consistency: A Solution to the No-Label Problem,
CVPR83(555-556).. Similar:
BibRef
8300
Global Optimization of a Consistent Labeling,
IJCAI83(1065-1067).
BibRef
Faugeras, O.D.,
Relaxation Labeling and Evidence Gathering,
PRIP82(672-677).
BibRef
8200
And:
ICPR82(405-412).
The problem is how to represent non-support (negative support) and
ignorance. Normalization of the Q vectors is not needed.
Interesting-new numbers and computation-try it out to see what it
really means! The second version says about the same as the first,
but there is more of it.
BibRef
Berthod, M.,
Long, P.,
Graph Matching by Parallel Optimization Methods:
An Application to Stereo Vision,
ICPR84(841-843).
BibRef
8400
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Discrete Relaxation Methods .