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Survey, Shape Matching. Create a set of synthetic shapes and apply matching.
Gives 3 measures from Davies (
See also Learning Shape: Optimal Models for Analysing Natural Variability. ).
Evaluate 5 techniques:
Richardson and Wang (SDI) (
See also Nonrigid Shape Correspondence Using Landmark Sliding, Insertion and Deletion. ).
Thodberg (T-MDL) (
See also Minimum Description Length Shape and Appearance Models. )
Karlsson and Ericsson (E-MDL) and
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Jung, D.U.[Da Un],
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Akca, D.,
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0610
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Urfalioglu, O.[Onay],
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Scale Invariant Robust Registration of 3D-Point Data and a Triangle
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ACIVS06(1059-1070).
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Rugis, J.[John],
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Surface Registration Markers from Range Scan Data,
IWCIA06(430-444).
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Novatnack, J.[John],
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Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully
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He, W.F.[Wen-Feng],
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ICIP05(III: 1052-1055).
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Chang, M.C.[Ming-Ching],
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0409
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Earlier:
Fast landmark-based registration via deterministic and efficient
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0206
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Ikemoto, L.,
Gelfand, N.,
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0311
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Dion, Jr., D.[Denis],
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ICPR00(Vol I: 977-980).
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HTML Version.
0009
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Wingbermühle, J.[Jochen],
Robust Registration of Coarse Binary Volume Models,
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HTML Version.
0009
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Nguyen, V.D.,
Nzomigni, V.,
Stewart, C.V.,
Fast and robust registration of 3D surfaces using low curvature patches,
3DIM99(201-208).
IEEE DOI Reference
9910
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Lee, E.J.,
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Min, G.,
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Jost, T.,
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9808
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Weik, S.,
Registration of 3D Partial Surfaces Using Luminance and
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Stoddart, A.J., and
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9608University of Surrey
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Ostuni, J.L.,
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Frank, J.A.,
COCGV: a method for multi-modality 3D volume registration,
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Shiohara, M.,
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Nakagawa, Y.,
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ICPR90(I: 194-197).
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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
3-D Surface Registration for Mosaics and Models .