Matching, Affine Transformations

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Matching, Regions. Affine Transform.

Pauwels, E.J., Moons, T., Van Gool, L.J., Kempenaers, P., Oosterlinck, A.,
Recognition Of Planar Shapes Under Affine Distortion,
IJCV(14), No. 1, January 1995, pp. 49-65.
Springer DOI See also Foundations Of Semi-Differential Invariants. BibRef 9501

Van Gool, L.J., Moons, T., Ungureanu, D., Oosterlinck, A.,
The Characterization and Detection of Skewed Symmetry,
CVIU(61), No. 1, January 1995, pp. 138-150.
DOI Link BibRef 9501

Kempenaers, P., Van Gool, L.J., and Oosterlinck, A.,
Shape Recognition under Affine Distortions,
VF91(323-332). Matching, Invariants. BibRef 9100

Wagemans, J.[Johan],
Detection of visual symmetries,
SV(9), No. 9, 1995, pp. xx-yy. BibRef 9500

Van Gool, L.J., Wagemans, J., Vandeneede, J., Oosterlinck, A.,
Similarity Extraction and Modelling,
IEEE DOI BibRef 9000

Adler, S.L.[Stephen L.], Krishnan, R.[Ranganathan],
Similarity and Affine Normalization of Partially Occluded Planar Curves Using First and 2nd Derivatives,
PR(31), No. 10, October 1998, pp. 1551-1556.
Elsevier DOI 9808

Kenney, C.S.[Charles S.], Manjunath, B.S., Zuliani, M.[Marco], Hewer, G.A.[Gary A.], van Nevel, A.[Alan],
A condition number for point matching with application to registration and postregistration error estimation,
PAMI(25), No. 11, November 2003, pp. 1437-1454.
IEEE Abstract. 0311
To select tie points to use in matching. Condition number to minimize functions for translation, rotation-scaling and affine transformations. Test is how well the points work in matching operations. BibRef

Zuliani, M., Bhagavathy, S., Manjunath, B.S., Kenney, C.S.,
Affine-invariant curve matching,
ICIP04(V: 3041-3044).

Zuliani, M., Kenney, C.S., Manjunath, B.S.,
A Mathematical Comparison of Point Detectors,

Zhang, P.P., Qiao, Y., Wang, S.Z., Yang, J.,
Reference-omitted affine soft correspondence algorithm,
IET-IPR(10), No. 8, 2016, pp. 571-581.
DOI Link 1608
image matching BibRef

Rodríguez, M.[Mariano], Delon, J.[Julie], Morel, J.M.[Jean-Michel],
Covering the Space of Tilts. Application to Affine Invariant Image Comparison,
SIIMS(11), No. 2, 2018, pp. 1230-1267.
DOI Link 1807
Analyze affine matching. BibRef

Rodríguez, M.[Mariano], Delon, J.[Julie], Morel, J.M.[Jean-Michel],
Fast Affine Invariant Image Matching,
IPOL(8), 2018, pp. 251-281.
DOI Link 1810
Code, Image Matching. See also Covering the Space of Tilts. Application to Affine Invariant Image Comparison. BibRef

Guan, B.L.[Bang-Lei], Zhao, J.[Ji], Li, Z.[Zhang], Sun, F.[Fang], Fraundorfer, F.[Friedrich],
Minimal Solutions for Relative Pose With a Single Affine Correspondence,
Cameras, Pose estimation, Transmission line matrix methods, Robot vision systems, Simultaneous localization and mapping, Motion estimation BibRef

Rodríguez, M., Facciolo, G., von Gioi, R.G., Musé, P., Delon, J.,
Robust estimation of local affine maps and its applications to image matching,
Transforms, Cameras, Estimation, Detectors, Training, Image matching, Optical imaging BibRef

Wodzinski, M.[Marek], Müller, H.[Henning],
Learning-based Affine Registration of Histological Images,
Springer DOI 2006

Kim, J., Yu, K.,
Areal Feature Matching Based on Similarity Using Critic Method,
DOI Link 1602
Matching a simple entity with an aggregate of several polygons or two aggregates of several polygons. Based on building name being the same. Overlay, intersect. BibRef

Tanacs, A., Majdik, A., Molnar, J., Rai, A., Kato, Z.,
Establishing Correspondences between Planar Image Patches,
computer vision BibRef

Heikkila, J.,
Statistical method for object alignment under affine transformation,

Frydrychowicz, S.,
A New Approach to Affine Transform Invariant Shape Matching,
VF91(267-274). Decompose the shape into sections and match the sections of the contour (lobes, etc.). BibRef 9112

Hummel, R.A., and Wolfson, H.J.,
Affine Invariant Matching,
DARPA88(351-364). BibRef 8800

Bachelder, I.A.[Ivan A.], and Ullman, S.,
Contour Matching Using Local Affine Transformations,
IEEE DOI BibRef 9200
And: DARPA92(299-310). BibRef
And: A1 only: MIT AI Memo-1326, April 1992. Computes a point to point contour match.
WWW Link. BibRef

Baird, H.S.,
Model-Based Image Matching Using Location,
Cambridge: MIT Press1985. Matching features to convex regions leads to linear constraints of the set of possible transformations. BibRef 8500

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Region/Contour Matching, Accumulation Based .

Last update:Sep 14, 2020 at 15:32:18