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Earlier: A1, A2, Only:
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Zeng, A.[Andy],
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Model-based 3D pose estimation for pick-and-place application,
MVA17(412-415)
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1705
Color, Computational modeling, Impedance matching,
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Biological cells, Extraterrestrial measurements,
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DPN-LRF: A Local Reference Frame for Robustly Handling Density
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1601
3D Keypoint matching
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1408
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Detection of false feature correspondences in feature based object
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Fast Inverse Compositional Image Alignment with Missing Data and
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Corner Matching Refinement for Monocular Pose Estimation,
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1301
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Wang, J.,
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A Multi-View Image Matching Method for Feature Points Based on the
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Flitton, G.[Gregory],
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1304
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IEEE DOI
1302
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Disambiguating the recognition of 3D objects,
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IEEE DOI
0906
detection, segmentation, recognition, and pose.
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Pose from point matching.
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García-Díaz, A.[Anton],
Fdez-Vidal, X.R.[Xose Ramon],
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Improving Scene Recognition through Visual Attention,
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Sasliency based on color and local energy. Reduce prototype database size
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0805
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3D Object Mapping by Integrating Stereo SLAM and Object Segmentation
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ISVC09(I: 690-699).
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0911
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3D Object Modeling and Segmentation Based on Edge-Point Matching with
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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 File.
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
0711
BibRef
Alshawabkeh, Y.,
Haala, N.,
Fritsch, D.,
2D-3D feature extraction and registration of real world scenes,
IEVM06(xx-yy).
PDF File.
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
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 File.
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Islam, M.S.,
Lin, Z.[Zhu],
Matching Interest Points of an Object,
ICIP05(I: 373-376).
IEEE DOI
0512
BibRef
Jian, B.[Bing],
Vemuri, B.C.[Baba C.],
Robust Point Set Registration Using Gaussian Mixture Models,
PAMI(33), No. 8, August 2011, pp. 1633-1645.
IEEE DOI
1107
BibRef
Earlier:
A Robust Algorithm for Point Set Registration Using Mixture of
Gaussians,
ICCV05(II: 1246-1251).
IEEE DOI
0510
Rigid and non-rigid registration with significant noise.
Inputs as Gaussian mixture models. Assign 2 mixtures so that statistical
discrepancy is minimized.
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
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
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).
IEEE DOI
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
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 DOI
0311
BibRef
Stoddart, A.J.,
Hilton, A.,
Registration of Multiple Point Sets,
ICPR96(II: 40-44).
IEEE DOI
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 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 .