12.3.2.2 Contours Through a Sequence

Chapter Contents (Back)
Matching, Sequence. Contour Matching. Matching, Contours. Tracking. See also Active Contours and Snakes, Region Segmentation Issues.

Bajcsy, R.K.[Ruzena K.], and Kovacic, S.,
Multiresolution Elastic Matching,
CVGIP(46), No. 1, April 1989, pp. 1-21.
Elsevier DOI 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 K.], 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.
Elsevier DOI 0401
Planar curves with weak perspective. 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.
Elsevier DOI 0801
BibRef
Earlier: CAIP05(415).
Springer DOI 0509
Image recognition; Partial occlusion; Affine transformation; Inflection point; Radial vector BibRef

Leškovský, P.[Peter], Alekseychuk, A.[Alexander], Stanski, A.[Adam], Hellwich, O.[Olaf], Schlüns, K.[Karsten], Zerbe, N.[Norman], Hufnagl, P.[Peter],
Point-based registration of high-resolution histological slices for navigation purposes in virtual microscopy,
BMVA(2012), No. 10, 2012, pp. 1-18.
PDF File. 1209
BibRef


Pu, J.T.[Jian-Tao], Yi, L.[Liu], Xin, G.[Guyu], Zha, H.B.[Hong-Bin], Liu, W.B.[Wei-Bin], Uehara, Y.,
3D model retrieval based on 2D slice similarity measurements,
3DPVT04(95-101).
IEEE DOI 0412
BibRef

Avants, B.[Brian], Gee, J.C.[James C.],
Continuous Curve Matching with Scale-Space Curvature and Extrema-Based Scale Selection,
ScaleSpace03(798-813).
Springer DOI 0310
BibRef

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 .


Last update:Nov 17, 2018 at 09:12:27