12.1.9 3-D Points with 3-D Structures

Chapter Contents (Back)
Three Dimensional Points. Point Matching. Matching, Points.

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 may work or IEEE-CS DOI may work.
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

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. 0005Landmark based matching. See also New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. 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 may work or IEEE-CS DOI may work. 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. 0310In 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

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. 0402How 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.A.[Jian-Qi-Ang], 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 may work or IEEE-CS DOI may work. 0803maximum absolute error, sum of absolute errors BibRef


Feng, Q.Q.[Qi-Qiang], 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).
WWW Version. 0711 BibRef

Heimonen, T.[Teuvo], Heikkilä, J.[Janne],
Monocular Point Based Pose Estimation of Artificial Markers by Using Evolutionary Computing,
SCIA07(122-131).
WWW Version. 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).
WWW Version. 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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 0507SIFT: 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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 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 .


Last update:Oct 1, 2008 at 09:28:47