Modestino, J.W., and
Zhang, J.,
A Markov Random Field Model-Based Approach to Image Interpretation,
PAMI(14), No. 6, June 1992, pp. 606-615.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9206
Earlier:
CVPR89(458-465).
IEEE Abstract. IEEE Top Reference. From region segmented images (
See also Model-Fitting Approach to Cluster Validation with Application to Stochastic Model-Based Image Segmentation, A. ), generate
labeled regions using domain knowledge, features, and
relationships.
BibRef
Cheng, J.K., and
Huang, T.S.,
Image Registration by Matching Relational Structures,
PR(17), No. 1, 1984, pp. 149-159.
WWW Version.
BibRef
8400
Earlier:
ICPR82(354-356).
BibRef
Earlier:
PRIP81(542-547).
Recognize Structures. Recognition is based on long edge segments of tools. Binary
relations are combined to produce ternary relations. Construct
relational descriptions of the boundary - very gross features -
long edges and chords of curved sections. The matching is based on
"stars" - nodes and every thing it is linked to, the compatibility
is overlap of possible assignments in pairs of stars. There is a
star for each node, with ratings for others stars, refinement
through relaxation (10 to 20 iterations).
BibRef
Cheng, J.K., and
Huang, T.S.,
A Subgraph Isomorphism Algorithm Using Resolution,
PR(13), No. 5, 1981, pp. 371-379.
WWW Version.
BibRef
8100
Cheng, J.K., and
Huang, T.S.,
Recognition of Curvilinear Objects by Matching
Relational Structures,
PRIP82(343-348).
BibRef
8200
Bolles, R.C., and
Cain, R.A.,
Recognizing and Locating Partially Visible Objects:
The Local-Feature-Focus Method,
IJRR(1), No. 3, Fall 1982, pp. 57-82.
BibRef
8200
Earlier: A1 only:
AAAI-80(41-43).
BibRef
And: A1, A2:
Recognizing and Locating Partially Visible Workpieces:
The Local-Feature-Focus Method,
PRIP82(498-503).
Recognize Two-Dimensional Objects. The location and matching is based on distinct features (holes and
corners) with a hypothesis formed from several consistent feature
locations. Testing the hypothesis yields more features and an
indication of occlusions. Find a feature, predict the location of
other features, (cluster) graph matching in applied to identify the
cluster, and then extract the rest of the object to verify the
identification.
BibRef
Bolles, R.C.,
Verification Vision for Programmable Assembly,
IJCAI77(569-575).
BibRef
7700
And:
Verification Vision within a Programmable Assembly System,
Stanford AI275, December 1975.
BibRef
Kupeev, K.Y.,
Wolfson, H.J.,
A New Method of Estimating Shape Similarity,
PRL(17), No. 8, July 1 1996, pp. 873-887.
9608
Perceptual similarity using contours.
Postscript Version.
BibRef
Kupeev, K.Y., and
Wolfson, H.J.,
On Shape Similarity,
ICPR94(A:227-231).
IEEE DOI Link Perceptual similarity of contours for shape matching.
BibRef
9400
Fitch, A.J.,
Kadyrov, A.,
Christmas, W.J.,
Kittler, J.V.,
Fast robust correlation,
IP(14), No. 8, August 2005, pp. 1063-1073.
IEEE DOI Link
0508
BibRef
Earlier:
Fast exhaustive robust matching,
ICPR02(III: 903-906).
IEEE DOI Link
0211
BibRef
Shokoufandeh, A.[Ali],
Dickinson, S.J.[Sven J.],
Jönsson, C.[Clas],
Bretzner, L.[Lars],
Lindeberg, T.[Tony],
On the Representation and Matching of Qualitative Shape at Multiple
Scales,
ECCV02(III: 759 ff.).
HTML Version.
0205
Initial match of low level features.
BibRef
Yamaguchi, A.[Akashi],
Inokuchi, S.[Seiji],
Kochi, K.[Kazutaka],
Stereo Matching for Stone Statues Using SRI Parameters
and Relational Graph,
ICPR98(Vol I: 785-787).
IEEE DOI Link
9808
BibRef
Dubuisson-Jolly, M.P.[Marie-Pierre],
Jain, A.K.,
A Modified Hausdorff Distance for Object Matching,
ICPR94(A:566-568).
IEEE DOI Link
BibRef
9400
Enomoto, H.,
Yonezaki, N.,
Nitta, K.,
A Model for Perception of Structural Image Feature,
IJCAI79(257-259).
BibRef
7900
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Object Recognition, General Techniques .