Bhanu, B., and
Ming, J.,
Recognition of Occluded Objects: A Cluster-Structure Algorithm,
PR(20), No. 2, 1987, pp. 199-211.
WWW Version. Improve on the technique of Price above by applying a clustering
technique to limit the set of possible matches.
BibRef
8700
Liu, H.C., and
Srinath, M.D.,
Partial Shape Classification
Using Contour Matching in Distance Transformation,
PAMI(12), No. 11, November 1990, pp. 1072-1079.
IEEE Abstract. IEEE Top Reference.
WWW Version. Chamfer matching of contours using control points (corners).
(
See also Distance Transformations in Digital Images. )
BibRef
9011
Liu, H.C.,
Srinath, M.D.,
A String Descriptor for Matching Partial Shapes,
CVIP92(575-592).
BibRef
9200
Hwang, V.,
Recognizing and Locating Partially Occluded 2-D Objects:
Symbolic Clustering Method,
SMC(19), No. 6, Nov/Dec 1989, pp. 1644-1656.
BibRef
8900
Earlier:
Recognition of Two-Dimensional Objects
Using Hypothesis Integration Techniques,
CVWS87(106-111).
Recognize Two-Dimensional Objects. This is similar to other methods.
BibRef
Bhanu, B.[Bir], and
Faugeras, O.D.[Olivier D.],
Shape Matching of Two-Dimensional Objects,
PAMI(6), No. 2, March 1984, pp. 137-155.
BibRef
8403
Earlier: A1 Only:
Recognition of Occluded Objects,
IJCAI83(1136-1138).
BibRef
Earlier: A1, A2:
Recognition of Occluded Two Dimensional Objects,
SCIA81(72-77).
Recognize Two-Dimensional Objects.
Relaxation. Segment matching and relaxation using occluded objects from his
thesis, matching the occluded parts using segments as the basis.
BibRef
Horaud, R., and
Skordas, T.,
Model-Based Strategy Planning for Recognizing Partially Occluded
Parts,
Computer(20), No. 8, August 1987, pp. 58-65.
BibRef
8708
Earlier: A2, A1:
Planning A Strategy for Recognizing Partially Occluded Parts,
ICPR86(1080-1083).
Recognize Two-Dimensional Objects. A search strategy based on what to look for is generated based on
the distinguishing features of the given object. The system
determines the correct orientation for the single type of part (top
and bottom may be different).
BibRef
Rutkowski, W.S.,
Shape Completion,
CGIP(9), No. 1, 1979, pp. 89-101.
WWW Version.
BibRef
7900
Rutkowski, W.S.,
Recognition of Occluded Shapes Using Relaxation,
CGIP(19), No. 2, June 1982, pp. 111-128.
WWW Version.
Recognize Two-Dimensional Objects.
Relaxation. The description is based on selecting high curvature points and
extending to sample points a fixed distance on either side. If
necessary straight (or slightly curved) segments are used to connect
these end points. Because feature values are used in the relaxation
step no initial assignments are made.
BibRef
8206
Koch, M.W., and
Kashyap, R.L.,
Using Polygons to Recognize and Locate Partially Occluded Objects,
PAMI(9), No. 4, July 1987, pp. 483-494.
BibRef
8707
Earlier: A2, A1:
Computer Vision Algorithms Used in Recognition of Occluded Objects,
CAIA84(150-155).
Recognize Two-Dimensional Objects. This one hurts. Polygon means linear segment representation of the
boundary. It uses clusters of matches to find the best rotation and
translation for the match. It is too much of a copy for me.
BibRef
Ansari, N., and
Delp, E.J.,
Partial Shape Recognition: A Landmark-Based Approach,
PAMI(12), No. 5, May 1990, pp. 470-483.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9005
Earlier:
A Note on Two-Dimensional Landmark-Based Object Recognition,
CVPR86(622-624).
Shape matching based on landmarks (important features) using a
dynamic programming approach.
BibRef
Ansari, N.,
Shape Recognition: A Landmark-Based Approach,
PurdueTR-EE-88-31, July 1988,
BibRef
8807
Ph.D.Thesis (EE).
The thesis form of the above paper.
BibRef
Ansari, N.,
Li, K.,
Landmark-Based Shape Recognition by a Modified Hopfield Neural
Network,
PR(26), No. 4, April 1993, pp. 531-542.
WWW Version. Uses a three point based shape measure and major curvature points
on the contour to match rotated and scaled and partially occluded
objects to models. Requires 4 landmark points (corners) to appear
in the scene.
BibRef
9304
Ullmann, J.R.,
Analysis of 2-D Occlusion by Subtracting Out,
PAMI(14), No. 4, April 1992, pp. 485-489.
IEEE Abstract. IEEE Top Reference.
WWW Version. Matching and analysis of occlusions.
One-D occlusion:
See also Investigation of Occlusion in One Dimension, An.
BibRef
9204
Ullmann, J.R.,
Edge Replacement in the Recognition of Occluded Objects,
PR(26), No. 12, December 1993, pp. 1771-1784.
WWW Version.
BibRef
9312
Tsai, D.M.,
Tsai, R.Y.,
Use Neural Networks to Determine Matching Order for
Recognizing Overlapping Objects,
PRL(17), No. 10, September 2 1996, pp. 1077-1088.
Neural Networks.
Hough Transform.
BibRef
9609
Han, M.H.,
Jang, D.,
The Use of Maximum Curvature Points for the Recognition of
Partially Occluded Objects,
PR(23), No. 1-2, 1990, pp. 21-33.
WWW Version.
BibRef
9000
Salari, E.,
Balaji, S.,
Recognition of Partially Occluded Objects Using B-Spline Representation,
PR(24), No. 7, 1991, pp. 653-660.
WWW Version.
BibRef
9100
Pikaz, A.,
Dinstein, I.H.,
Matching of Partially Occluded Planar Curves,
PR(28), No. 2, February 1995, pp. 199-209.
WWW Version.
BibRef
9502
Dinstein, I., and
Silberberg, T.,
Shape Discrimination with Walsh Descriptors,
ICPR80(1055-1061).
BibRef
8000
Kim, J.H.,
Yoon, S.H.,
Sohn, K.H.,
A Robust Boundary-Based Object Recognition in Occlusion Environment by
Hybrid Hopfield Neural Networks,
PR(29), No. 12, December 1996, pp. 2047-2060.
WWW Version.
9701
Hopfield Networks.
BibRef
Illing, D.P.,
Fairney, P.T.,
Reconstructing Partially Occluded Object Boundaries,
PRL(12), 1991, pp. 31-38.
BibRef
9100
Illing, D.P.,
Fairney, P.T.,
Wiltshire, R.J.,
3-D object recognition and orientation from both noisy and occluded 2-D
data,
BMVC90(xx-yy).
PDF Version.
9009
BibRef
Koch, M.W.,
Kashyap, R.L.,
Matching Polygon Fragments,
PRL(10), 1989, pp. 297-308.
BibRef
8900
Ray, K.S.,
Dutta Majumder, D.,
Application of Differential Geometry to Recognize and
Locate Partially Occluded Objects,
PRL(9), 1989, pp. 351-360.
See also Recognition and Positioning of Partially Occluded 3-D Objects.
BibRef
8900
Ray, K.S.,
Majumder, D.D.,
Application of Hopfield Neural Networks and Canonical Perspectives
to Recognize and Locate Partially Occluded 3-D Objects,
PRL(15), No. 8, August 1994, pp. 815-824.
BibRef
9408
Chen, J.M.,
Ventura, J.A.,
Optimization Models for Shape-Matching of Nonconvex Polygons,
PR(28), No. 6, June 1995, pp. 863-877.
WWW Version.
See also Optimization Algorithm for Shape Analysis of Regular Polygons, An.
BibRef
9506
Ventura, J.A.,
Chen, J.M.,
A Structural Model For Shape-Recognition Using Neural Nets,
JIM(7), No. 1, February 1996, pp. 1-11.
BibRef
9602
Gewali, L.P.,
Recognizing S-Star Polygons,
PR(28), No. 7, July 1995, pp. 1019-1032.
WWW Version.
BibRef
9507
Tsang, P.W.M.,
A Genetic Algorithm for Aligning Object Shapes,
IVC(15), No. 11, November 1997, pp. 819-831.
WWW Version.
9712
BibRef
Tsang, P.W.M.,
A Genetic Algorithm for Affine Invariant Recognition of
Object Shapes from Broken Boundaries,
PRL(18), No. 7, July 1997, pp. 631-639.
9711
BibRef
Tsang, P.W.M.,
Yu, Z.,
Genetic algorithm for model-based matching of projected images of
three-dimensional objects,
VISP(150), No. 6, December 2003, pp. 351-359.
IEEE Abstract. IEEE Top Reference.
0402
BibRef
Park, J.S.,
Han, J.H.,
Contour Matching: A Curvature-Based Approach,
IVC(16), No. 3, March 16 1998, pp. 181-189.
WWW Version.
9804
See also Estimating Optical Flow by Tracking Contours.
BibRef
Han, J.H.,
Park, J.S.,
Contour Matching Using Epipolar Geometry,
PAMI(22), No. 4, April 2000, pp. 358-370.
IEEE Abstract. IEEE Top Reference.
WWW Version.
0006Using the epipolar constraint in matching through a sequence
helps eliminate mis-matches.
BibRef
Kupeev, K.Y.,
Brailovsky, V.L.,
A Reinforced Random Algorithm for a
Partial Contour Perceptual Similarity Problem,
PRL(19), No. 3-4, March 1998, pp. 287-297.
9807
Postscript Version.
BibRef
Bunke, H.[Horst],
Zumbuhl, M.[Marcel],
Acquisition of 2D Shape Models from Scenes with Overlapping Objects
using String matching,
PAA(2), No. 1, 1999, pp. 2-9.
BibRef
9900
Bunke, H.,
Kaufmann, G.,
Jigsaw puzzle solving using approximate string matching and best-first
search,
CAIP93(299-308).
WWW Version.
9309
BibRef
Saber, E.[Eli],
Xu, Y.[Yaowu],
Tekalp, A.M.[A. Murat],
Partial shape recognition by sub-matrix matching for partial matching
guided image labeling,
PR(38), No. 10, October 2005, pp. 1560-1573.
WWW Version.
0508
BibRef
Zhu, L.J.[Liang-Jia],
Zhou, Z.T.[Zong-Tan],
Hu, D.[Dewen],
Globally Consistent Reconstruction of Ripped-Up Documents,
PAMI(30), No. 1, January 2008, pp. 1-13.
IEEE DOI may work or IEEE-CS DOI may work.
0711First curve matching, then disambiguate using relaxation process.
BibRef
Yuen, T.Y.F.[Terry Y.F.],
Tsang, P.W.M.[Peter W.M.],
Affine invariant matching of broken boundaries based on particle swarm
optimization,
IVC(26), No. 9, 1 September 2008, pp. 1230-1239.
WWW Version.
0806Affine invariant matching; Broken boundary; Simple genetic algorithm;
Real coded genetic algorithm; Particle swarm optimization; Repeated trial
BibRef
Salberg, A.,
Harbitz, A.,
Hanssen, A.,
Shape classification of partially occluded objects using subspace
detectors,
ICIP04(III: 2095-2098).
IEEE DOI may work or IEEE-CS DOI may work.
0505
BibRef
Marcenaro, L.,
Gandetto, M.,
Regazzoni, C.S.,
Localization and classification of partially overlapped objects using
self-organizing trees,
ICIP03(III: 137-140).
IEEE Abstract. IEEE Top Reference.
0312
BibRef
Kawaguchi, T.[Tsuyoshi],
Nagao, M.[Makoto],
Recognition of Occluded Objects by a Genetic Algorithm,
ICPR98(Vol I: 233-237).
IEEE DOI may work or IEEE-CS DOI may work.
9808
BibRef
Vergnet, R.L.,
Saint-Marc, P., and
Ayache, N.J.,
Robustness of Model-Based Recognition in Cluttered Images,
CVPR93(713-714).
IEEE Abstract. IEEE Top Reference.
BibRef
9300
Lee, C.H.,
Quek, G.P.,
Partial Matching of two Dimensional Shapes Using Random Coding,
ICPR88(I: 64-68).
IEEE DOI may work or IEEE-CS DOI may work.
IEEE Top Reference.
BibRef
8800
Li, J.C.,
Yuan, B.Z.,
Using Stereo Vision Analysis to Recognize Partially Obscured Objects,
ICPR88(II: 758-760).
IEEE DOI may work or IEEE-CS DOI may work.
IEEE Top Reference.
BibRef
8800
Singer, P.F.[Paul Frank], and
Chellappa, R.,
Machine Perception of Partially Obscured Planar Shapes,
CVPR85(497-502).
BibRef
8500
Earlier:
Classification of Boundaries on the Plane Using Stochastic Models,
CVPR83(146-147).
Uses a circular auto-regressive model. Not the
real model for the noise that is expected.
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Contours Through a Sequence .