Mokhtarian, F., and
Mackworth, A.K.,
A Theory of Multiscale, Curvature-Based Shape Representation for
Planar Curves,
PAMI(14), No. 8, August 1992, pp. 789-805.
IEEE Abstract. IEEE Top Reference.
WWW Version. Curve representations.
Shape descriptor expected to be an MPEG-7 standard.
BibRef
9208
Mokhtarian, F.[Farzin], and
Mackworth, A.K.,
Scale Based Description and Recognition of Planar Curves
and Two-Dimensional Shapes,
PAMI(8), No. 1, January, 1986, pp. 34-43.
BibRef
8601
And: Authors reply to comments:
PAMI(8), No. 5, September 1986, pp. 675.
BibRef
Earlier: A2, A1:
Scale Based Description of Planar Curves,
CSCSI84(114-119).
BibRef
And:
The Renormalized Curvature Scale Space and the
Evolution Properties of Planar Curves,
CVPR88(318-326).
IEEE Abstract. IEEE Top Reference.
Scale Space. Represent different scales and generalize to a single
representation. Used for matching parts of boundaries to the whole
boundary.
BibRef
Mokhtarian, F.[Farzin],
Multi-Scale Contour Segmentation,
ScaleSpace97(xx).
9702
BibRef
Mokhtarian, F.[Farzin],
Suomela, R.[Riku],
Robust Image Corner Detection Through Curvature Scale Space,
PAMI(20), No. 12, December 1998, pp. 1376-1381.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9812
Earlier:
Curvature Scale Space for Robust Image Corner Detection,
ICPR98(Vol II: 1819-1821).
WWW Version.
9808Start with Canny, corners are points where image edges have maximum
curvature. Find in high scale, track through lower scales to get
positions. Proposes an improvement to Canny for 45 and 135 deg. edges.
BibRef
Mokhtarian, F.[Farzin],
Abbasi, S.[Sadegh],
Affine Curvature Scale Space with Affine Length Parametrisation,
PAA(4), No. 1, 2001, pp. 1-8.
HTML Version.
0105
BibRef
Earlier: A2, A1:
Curvature Scale Space with Affine Length Parametrisation,
ScaleSpace99(435-440).
See also Curvature Scale Space Image in Shape Similarity Retrieval.
BibRef
Mokhtarian, F.,
Convergence Properties of Curvature Scale Space Representations,
BMVC95(357-366).
BibRef
9500
Mokhtarian, F.,
Naito, S.,
Scale Properties of Curvature and Torsion Zero-Crossings,
ACCV93(303-308).
BibRef
9300
Mokhtarian, F.,
Evolution Properties of Space Curve,
ICCV88(100-105).
IEEE Abstract. IEEE Top Reference.
BibRef
8800
Mokhtarian, F.,
Fingerprint Theorems for Curvature and Torsion Zero-Crossings,
CVPR89(269-275).
IEEE Abstract. IEEE Top Reference.
BibRef
8900
Mokhtarian, F.,
Multi-Scale Description of Space Curves and Three-Dimensional Objects,
CVPR88(298-303).
IEEE Abstract. IEEE Top Reference.
BibRef
8800
Mokhtarian, F.[Farzin],
Abbasi, S.[Sadegh],
Matching Shapes With Self-Intersections:
Application to Leaf Classification,
IP(13), No. 5, May 2004, pp. 653-661.
WWW Version.
0404
BibRef
Mokhtarian, F.,
Silhouette-Based Isolated Object Recognition through
Curvature Scale-Space,
PAMI(17), No. 5, May 1995, pp. 539-544.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9505
Earlier:
add:
Murase, H.,
Silhouette-Based Object Recognition through Curvature Scale Space,
ICCV93(269-274).
WWW Version. Multi-scale description using zero-crossings and extrema.
BibRef
Mokhtarian, F.,
Silhouette-Based Occluded Object Recognition Through
Curvature Scale-Space,
MVA(10), No. 3, 1997, pp. 87-97.
HTML Version.
9709
BibRef
Earlier:
(no "-")
ECCV96(I:566-578).
WWW Version.
BibRef
Mokhtarian, F.,
A Theory of Multiscale, Torsion Based Shape Representation for
Space Curves,
CVIU(68), No. 1, October 1997, pp. 1-17.
9710
WWW Version.
BibRef
Mokhtarian, F.,
Robust Criteria for Automatic Multi-Scale Curve Segmentation,
SCIA99(Pattern Recognition).
BibRef
9900
Mokhtarian, F.[Farzin],
Torsion Scale Space Images: Robust Representations for Space Curves,
SCIA97(xx-yy)
9705
HTML Version.
BibRef
Mokhtarian, F.,
Multi-Scale, Torsion-Based Shape Representations for Space Curves,
CVPR93(660-661).
IEEE Abstract. IEEE Top Reference.
BibRef
9300
Goshtasby, A.,
Comments on 'Scale Based Description and Recognition of Planar Curves
and Two-Dimensional Shapes',
PAMI(8), No. 5, September 1986, pp. 674-675.
See also Scale Based Description and Recognition of Planar Curves and Two-Dimensional Shapes.
BibRef
8609
Neveu, C.F.,
Dyer, C.R., and
Chin, R.T.,
Two-Dimensional Object Recognition Using
Multiresolution Models,
CVGIP(34), No. 1, April 1986, pp. 52-65.
Hough.
Recognize Two-Dimensional Objects. The object is modeled as a graph of the boundary
elements with different models for each resolution. Matching is by
the Hough technique (accumulation array portion of the technique).
It seems similar to an earlier
BibRef
8604
CVPR85(426-428). paper
with Luo as the first author.
BibRef
Crowley, J.L., and
Sanderson, A.C.,
Multiple Resolution Representation and Probabilistic Matching
of 2-D Gray-Scale Shape,
PAMI(9), No. 1, January 1987, pp. 113-121.
BibRef
8701
And:
CVWS84(95-105).
Multiple Resolutions. The use of the DOLP transform, derived from Crowley's thesis.
Several levels are computed and the matching proceeds from the
lowest resolution up.
BibRef
Sanderson, A.C.[Arthur C.], and
Foster, N.[Nigel],
Attributed Image Matching Using a Minimum Representation Size Criterion,
CRA89(360-365).
BibRef
8900
Tortora, G.,
Costagliola, G.,
Arndt, T., and
Chang, S.K.,
Pyramidal Algorithms for Iconic Indexing,
CVGIP(52), No. 1, October 1990, pp. 26-56.
Pyramid Structures, Matching. Matching of the image using a pyramid structure to simplify
the search.
BibRef
9010
Choudhary, A.[Alok],
Ranka, S.[Sanjay],
Mesh and pyramid algorithms for iconic indexing,
PR(25), No. 9, September 1992, pp. 1061-1067.
WWW Version.
0401
BibRef
And: Authors Reply:
PR(31), No. 6, June 1998, pp. 821-822.
WWW Version.
9806
BibRef
Arndt, T.,
Costagliola, G.,
Chang, S.K.,
Comments on Mesh and Pyramid Algorithms for Iconic Indexing,
PR(31), No. 6, June 1998, pp. 819-820.
WWW Version.
9806
BibRef
Tu, Z.W.[Zhuo-Wen],
Zheng, S.F.[Song-Feng],
Yuille, A.L.[Alan L.],
Shape matching and registration by data-driven EM,
CVIU(109), No. 3, March 2008, pp. 290-304.
WWW Version.
0802Shape matching; Registration; Soft assign; EM; Shape context
BibRef
Tu, Z.W.[Zhuo-Wen],
Yuille, A.L.[Alan L.],
Shape Matching and Recognition:
Using Generative Models and Informative Features,
ECCV04(Vol III: 195-209).
WWW Version.
0405Generative model for how one shape can be generated by the other.
Allow affine and non-rigid transformations.
DDMCMC (
See also Image Parsing: Unifying Segmentation, Detection, and Recognition. )
Shape Contexts (
See also Shape Matching and Object Recognition Using Shape Contexts. )
Softassign (
See also new point matching algorithm for non-rigid registration, A. )
BibRef
Alvino, C.V.[Christopher V.],
Yezzi, Jr., A.J.[Anthony J.],
A Scale Space for Contour Registration Using Minimal Surfaces,
ScaleSpace03(164-179).
HTML Version.
0310
BibRef
Zhang, X.,
Burkhardt, H.,
Hierarchical Primitives Based Contour Matching,
DAGM02(298 ff.).
HTML Version.
0303
BibRef
Luo, Y.,
Dyer, C.R., and
Chin, R.T.,
2-D Object Recognition Using Hierarchical Boundary Segments,
CVPR85(426-428). (Univ. of Wisconsin)
Pyramid Structure.
Recognize Two-Dimensional Objects. Model driven, pyramid based, coarse to fine matching.
BibRef
8500
Wu, Y., and
Maitre, H.,
Registration of a SPOT Image and a
SAR Image Using Multiresolution Representation of a Coastline,
ICPR90(I: 913-917).
WWW Version.
BibRef
9000
Venkateswar, V.,
Hierarchical Representation, Matching and Search
for Some Computer Vision Problems,
Ph.D.Thesis (EE), USC, June 1991.
Uses a Truth Maintenance System to explore the search space
in matching.
For applications:
See also Hierarchical Stereo and Motion Correspondence Using Feature Groupings.
BibRef
9106
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Surface Matching, Deformable Surface Matching .