Bajcsy, R.K.[Ruzena], and
Kovacic, S.,
Multiresolution Elastic Matching,
CVGIP(46), No. 1, April, 1989, pp. 1-21.
The series of contours from CT-scan data are matched using a
deformation model for tracking the contour. The topology should
remain constant, but the shape can change greatly.
BibRef
8904
Bajcsy, R.K.[Ruzena], and
Broit, C.[Chaim],
Matching of Deformed Images,
ICPR82(351-353).
The model and the data start out in the same form, and there already
exists a similarity relationship between the two, therefore all
there is to do is to find the mapping between the two. The mapping
is a rubber sheet warping which minimizes the stress.
BibRef
8200
Liang, B.J.,
Wallace, A.M.,
Viewpoint independent matching of planar curves in 3D space,
PR(37), No. 3, March 2004, pp. 525-542.
WWW Version.
0401
BibRef
Horácek, O.[Ondrej],
Kamenický, J.[Jan],
Flusser, J.[Jan],
Recognition of Partially Occluded and Deformed Binary Objects,
PRL(29), No. 3, 1 February 2008, pp. 360-369.
WWW Version.
0801
BibRef
Earlier:
CAIP05(415).
WWW Version.
0509Image recognition; Partial occlusion; Affine transformation;
Inflection point; Radial vector
BibRef
Avants, B.[Brian],
Gee, J.[James],
Continuous Curve Matching with Scale-Space Curvature and Extrema-Based
Scale Selection,
ScaleSpace03(798-813).
HTML Version.
0310
BibRef
Tagare, H.[Hemant],
O'Shea, D.[Don],
Rangarajan, A.[Anand],
A Geometric Criterion for Shape-Based Non-Rigid Correspondence,
ICCV95(434-439).
WWW Version.
WWW Version. Match curves.
BibRef
9500
Gazit, S.L.,
Correspondence Based Motion Analysis,
Ph.D.Thesis (CS), May 1991,
BibRef
9105
USC_IRISTR-268.
BibRef
USC Computer Vision
BibRef
Gazit, S.L., and
Medioni, G.G.,
Multi-Scale Contour Matching in a Motion Sequence,
DARPA89(934-943).
BibRef
8900
USC Computer Vision
BibRef
Earlier:
Contour Correspondences in Dynamic Imagery,
DARPA88(423-432).
The matching of high resolutions is guided by that of lower ones.
First compute the zero crossing edges and find correspondences for
portions of the contour from frame to frame. Expand the matching
to include individual points along th econtour. This is the
preliminary work with motion estimation to be added next.
BibRef
Gazit, S.L., and
Medioni, G.G.,
Establishing Contour Correspondences from a Sequence of Images,
USC_IRISTR-213, 1987.
BibRef
8700
USC Computer VisionContour matching for motion, the contours are know to match, the
problem is to find how the points or group of points on the
contour match from frame to frame.
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Hierarchical/Scale-Space Contour Matching and Descriptions .