12.1.9 3-D Points with 3-D Structures

Chen, H.H., and Huang, T.S.,
Maximal Matching of 3-D Points for Multiple-Object Motion Estimation,
PR(21), No. 2, 1988, pp. 75-90.
WWW Version. BibRef 8800

Tsai, R.Y.[Roger Y.],
Multiframe Image Point Matching and 3-D Surface Reconstruction,
PAMI(5), No. 2, March 1983, pp. 159-173. Multiple image correlation for matching. It is all theory and simulation, with no real results. Therefore, it is hard to see how it would really work. BibRef 8303

Cheng, J.C., Don, H.S.,
A Graph Matching Approach to 3-D Point Correspondences,
PRAI(5), 1991, pp. 399-412. BibRef 9100
Earlier: IJCAI91(399-412). BibRef

Tsang, P.W.M., Yuen, P.C., Lam, F.K.,
Recognition of Occluded Objects,
PR(25), No. 10, October 1992, pp. 1107-1117.
WWW Version. BibRef 9210

Tsang, P.W.M., Yuen, P.C.,
Recognition of Partly Occluded Objects,
SMC(23), 1993, pp. 228-236. BibRef 9300

Tsang, P.W.M., Yuen, P.C., Lam, F.K.,
Classification of Partially Occluded Objects Using 3-Point Matching and Distance Transformation,
PR(27), No. 1, January 1994, pp. 27-40.
WWW Version. BibRef 9401

Yuen, P.C., Tsang, P.W.M.,
Local Feature Detector Using 3-Point Matching and Dynamic-Programming,
IVC(13), No. 3, April 1995, pp. 179-187.
WWW Version. BibRef 9504

Boxer, L.,
Point Set Pattern-Matching in 3-D,
PRL(17), No. 12, October 25 1996, pp. 1293-1297. 9612
BibRef

Lavine, D., Lambird, B.A., Kanal, L.N.,
Recognition of Spatial Point Patterns,
PR(16), No. 3, 1983, pp. 289-295.
WWW Version. BibRef 8300
Earlier: PRIP81(49-53). BibRef

Zhuang, H.Q., Sudhakar, R.,
Simultaneous Rotation and Translation Fitting of 2 3-D Point Sets,
SMC-B(27), No. 1, February 1997, pp. 127-131.
IEEE Top Reference. 9702
BibRef

Chua, C.S., Jarvis, R.,
Point Signatures: A New Representation for 3D Object Recognition,
IJCV(25), No. 1, October 1997, pp. 63-85.
WWW Version. 9710
BibRef

Pennec, X.[Xavier], Thirion, J.P.[Jean-Philippe],
A Framework for Uncertainty and Validation of 3-D Registration Methods Based On Points And Frames,
IJCV(25), No. 3, December 1997, pp. 203-229.
WWW Version. 9712
BibRef
Earlier:
Validation of 3D Registration Methods Based on Points and Frames,
ICCV95(557-562).
IEEE DOI Link
WWW Version. Register CAT data and difference. BibRef

Pennec, X.[Xavier],
Toward a Generic Framework for Recognition Based on Uncertain Geometric Features,
Videre(1), No. 2, Winter 1998, pp. xx-yy. Describe algorithms in terms of features (points and lines).
HTML Version.
PDF Version. BibRef 9800

Alter, T.D., Jacobs, D.W.,
Uncertainty Propagation in Model-Based Recognition,
IJCV(27), No. 2, March 1998, pp. 127-159.
WWW Version. 9805
BibRef
And: MIT AI Memo-1476, January 1995.
WWW Version. Matching corners of the object. BibRef

Alter, T.D., Jacobs, D.W.,
Error Propagation in Full 3-D and 2-D Object Recognition,
CVPR94(892-898).
IEEE Abstract. IEEE Top Reference. BibRef 9400
And:
Error Propagation in 3D-from-2D Recognition: Scaled-Orthographic and Perspective Projections,
ARPA94(II:973-980). BibRef

Boxer, L.[Laurence],
Faster point set pattern matching in 3-D,
PRL(19), No. 13, November 1998, pp. 1235-1240. BibRef 9811

Goodrich, M.T., Mitchell, J.S.B., Orletsky, M.W.,
Approximate Geometric Pattern Matching Under Rigid Motions,
PAMI(21), No. 4, April 1999, pp. 371-379.
IEEE Abstract. IEEE Top Reference.
WWW Version. Match points in 2 and 3-D for rigid transformations. BibRef 9904

Eppstein, D.[David], Goodrich, M.T.[Michael T.], Kim, E.[Ethan], Tamstorf, R.[Rasmus],
Approximate topological matching of quad meshes,
VC(25), No. 8, August 2009, pp. xx-yy.
Springer DOI Link 0907
BibRef

Trucco, E.[Emanuele], Fusiello, A.[Andrea], Roberto, V.[Vito],
Robust motion and correspondence of noisy 3-D point sets with missing data,
PRL(20), No. 8, August 1999, pp. 889-898. BibRef 9908

Chui, H.[Haili], Rangarajan, A.[Anand],
A new point matching algorithm for non-rigid registration,
CVIU(89), No. 2-3, February-March 2003, pp. 114-141.
WWW Version. 0304
BibRef
Earlier:
A New Algorithm for Non-Rigid Point Matching,
CVPR00(II: 44-51).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
Landmark based matching. See also New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. BibRef

Chi, Y.T.[Yu-Tseh], Shahed, S.M.N.[S. M. Nejhum], Ho, J.[Jeffrey], Yang, M.H.[Ming-Hsuan],
Higher Dimensional Affine Registration and Vision Applications,
ECCV08(IV: 256-269).
Springer DOI Link 0810
BibRef

Ho, J.[Jeffrey], Yang, M.H.[Ming-Hsuan], Rangarajan, A.[Anand], Vemuri, B.[Baba],
A New Affine Registration Algorithm for Matching 2D Point Sets,
WACV07(25-25).
IEEE DOI Link 0702
BibRef

de Trazegnies, C., Urdiales García, C.[Cristina], Bandera Rubio, A.[Antonio], Sandoval Hernández, F.[Francisco],
A Hidden Markov Model object recognition technique for incomplete and distorted corner sequences,
IVC(21), No. 9, September 2003, pp. 879-889.
WWW Version. 0308
See also 3D object recognition based on curvature information of planar views. See also Planar shape indexing and retrieval based on Hidden Markov Models. BibRef

Park, S.Y.[Soon-Yong], Subbarao, M.[Murali],
An accurate and fast point-to-plane registration technique,
PRL(24), No. 16, December 2003, pp. 2967-2976.
WWW Version. 0310
In order to find the intersection point fast and accurately, forward-project the source point to the destination surface and reproject the projection point to the normal vector of the source point. BibRef

Park, S.Y.[Soon-Yong], Subbarao, M.,
A fast point-to-tangent plane technique for multi-view registration,
3DIM03(276-283).
IEEE Abstract. IEEE Top Reference. 0311
BibRef

Roy, S.[Sebastien],
Method for computing the location and orientation of an object in three dimensional space,
US_Patent6,580,821, Jun 17, 2003
WWW Version. Mark points, match to 3-D model. BibRef 0306

Moisan, L.[Lionel], Stival, B.[Bérenger],
A Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix,
IJCV(57), No. 3, May-June 2004, pp. 201-218.
WWW Version. 0402
How to compare accurate matches with few points and fuzzy matches with many points when 8 matches are desired for the computation. BibRef

Moisan, L., Stival, B.,
Automatic detection of rigid point matches,
Motion02(235-240).
IEEE Abstract. IEEE Top Reference. 0303
BibRef

Zhong, Z.G.[Zhi-Guang], Yi, J.Q.[Jian-Qiang], Zhao, D.B.[Dong-Bin], Hong, Y.P.[Yi-Ping],
Effective pose estimation from point pairs,
IVC(23), No. 7, 1 July 2005, pp. 651-660.
WWW Version. 0506
BibRef

Calafiore, G.C.,
On 3-D Point Set Matching With MAE and SAE Cost Criteria,
SMC-A(38), No. 2, March 2008, pp. 443-450.
IEEE DOI Link 0803
maximum absolute error, sum of absolute errors BibRef

López-García, F.[Fernando], García-Díaz, A.[Anton], Fdez-Vidal, X.R.[Xose Ramon], Pardo, X.M.[Xose Manuel], Dosil, R.[Raquel], Luna, D.[David],
Improving Scene Recognition through Visual Attention,
IbPRIA09(16-23).
Springer DOI Link 0906
Sasliency based on color and local energy. Reduce prototype database size for matching. BibRef

Fidjeland, A.[Andreas], Shanahan, M.[Murray], Bouganis, A.[Alexandros],
Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace,
CogVis08(135-148).
Springer DOI Link 0805
BibRef

Bouganis, A.[Alexandros], Shanahan, M.[Murray],
Flexible object recognition in cluttered scenes using relative point distribution models,
ICPR08(1-5).
IEEE DOI Link 0812
Point matching of edge features with clutter BibRef

Steinbis, J.M.[John M.], Vincent, T.L.[Tyrone L.], Hoff, W.A.[William A.],
New extensions of the 3-simplex for exterior orientation,
ICPR08(1-5).
IEEE DOI Link 0812
BibRef

Teo, C.L.[Ching Lik], Li, S.M.[Shi-Miao], Cheong, L.F.[Loong-Fah], Sun, J.[Ju],
3D ordinal constraint in spatial configuration for robust scene recognition,
ICPR08(1-5).
IEEE DOI Link 0812
SURF and Geometry See also Speeded-Up Robust Features (SURF). BibRef

Gu, S.X.[Song-Xiang], Lindsay, C.[Clifford], Gennert, M.A.[Michael A.], King, M.A.[Michael A.],
A Quick 3D-to-2D Points Matching Based on the Perspective Projection,
ISVC08(I: 634-645).
Springer DOI Link 0812
BibRef

Tomono, M.[Masahiro],
3D Object Modeling and Segmentation Based on Edge-Point Matching with Local Descriptors,
ISVC08(I: 55-64).
Springer DOI Link 0812
BibRef

Feng, Q.Q.A.[Qi-Qi-Ang], Li, G.Y.[Guang-Yun], Huang, G.P.[Gui-Ping],
Matching of Artificial Target Points Based on Space Intersection,
ISPRS08(B5: 111 ff).
PDF Version. 0807
BibRef

Kang, W.B.[Woo-Bum], Eiho, S.[Shigeru],
3D Tracking Using 2D-3D Line Segment Correspondence and 2D Point Motion,
VISAPP06(367-380).
Springer DOI Link 0711
BibRef

Heimonen, T.[Teuvo], Heikkilä, J.[Janne],
Monocular Point Based Pose Estimation of Artificial Markers by Using Evolutionary Computing,
SCIA07(122-131).
Springer DOI Link 0706
BibRef

Alshawabkeh, Y., Haala, N., Fritsch, D.,
2D-3D feature extraction and registration of real world scenes,
IEVM06(xx-yy).
PDF Version. 0609
BibRef

Batlle, E.[Elisabet], Matabosch, C.[Carles], Salvi, J.[Joaquim],
Summarizing Image/Surface Registration for 6DOF Robot/Camera Pose Estimation,
IbPRIA07(II: 105-112).
Springer DOI Link 0706
BibRef

Matabosch, C.[Carles], Batlle, E.[Elisabet], Fofi, D.[David], Salvi, J.[Joaquim],
A Variant of Point-to-Plane Registration including Cycle Minimization,
PCV06(xx-yy).
PDF Version. 0609
BibRef

Islam, M.S., Lin, Z.[Zhu],
Matching Interest Points of an Object,
ICIP05(I: 373-376).
IEEE DOI Link 0512
BibRef

Jian, B.[Bing], Vemuri, B.C.[Baba C.],
A Robust Algorithm for Point Set Registration Using Mixture of Gaussians,
ICCV05(II: 1246-1251).
IEEE DOI Link 0510
BibRef

Deng, H.L.[Hong-Li], Mortensen, E.N.[Eric N.], Shapiro, L.G.[Linda G.], Dietterich, T.G.[Thomas G.],
Reinforcement Matching Using Region Context,
BP06(11).
IEEE DOI Link 0609
BibRef

Deng, H.L.[Hong-Li], Zhang, W.[Wei], Mortensen, E.N.[Eric N.], Dietterich, T.G.[Thomas G.], Shapiro, L.G.[Linda G.],
Principal Curvature-Based Region Detector for Object Recognition,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Zhang, W.[Wei], Deng, H.L.[Hong-Li], Dietterich, T.G.[Thomas G.], Mortensen, E.N.[Eric N.],
A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions,
ICPR06(I: 778-782).
WWW Version. 0609
BibRef

Mortensen, E.N.[Eric N.], Deng, H.L.[Hong-Li], Shapiro, L.G.[Linda G.],
A SIFT Descriptor with Global Context,
CVPR05(I: 184-190).
IEEE DOI Link 0507
SIFT: See also Distinctive Image Features from Scale-Invariant Keypoints. Matching feature points, both local information and global context. BibRef

Li, B.H.[Bai-Hua], Holstein, H.,
Using k-d trees for robust 3D point pattern matching,
3DIM03(95-102).
IEEE Abstract. IEEE Top Reference. 0311
BibRef

Stoddart, A.J., Hilton, A.,
Registration of Multiple Point Sets,
ICPR96(II: 40-44).
IEEE DOI Link 9608
(Univ. of Surrey, UK) BibRef

Cheng, Y.Q.[Yong-Qing], Collins, R.T.[Robert T.], Hanson, A.R.[Allen R.], and Riseman, E.M.[Edward M.],
Triangulation without Correspondences,
ARPA94(II:993-1000). Actually from 2-D point data, but using structural reconstructions. BibRef 9400

Heuser, M., and Liedtke, C.E.,
Recognition of the Spatial Position of Industrial 3D-Objects Using Relaxation Techniques,
ICPR90(I: 191-193).
IEEE DOI Link Matching based on 3-D corner features. BibRef 9000

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Point Based Pose Estimation and Recognition .