Horaud, R.,
New Methods for Matching 3-D Objects with Single Perspective Views,
PAMI(9), No. 3, May 1987, pp. 401-412.
Hough.
The basic technique is to "backproject" the feature (tri-hedral
junction) onto the Gaussian Sphere to get the possible orientations
of the surface determined by the intersection of the curves for all
the junctions around the surface. I.e. a Hough technique applied to
surfaces.
BibRef
8705
Horaud, R.,
Spatial Object Perception from an Image,
IJCAI85(1116-1119).
BibRef
8500
del Bimbo, A.,
Nesi, P., and
Consales, R.,
3-D Object Recognition from Single Perspective Views,
VF91(197-204).
Similar to
See also New Methods for Matching 3-D Objects with Single Perspective Views.
BibRef
9100
Chen, H.H., and
Huang, T.S.,
Matching 3-D Line Segments with Applications to
Multiple-Object Motion Estimation,
PAMI(12), No. 10, October 1990, pp. 1002-1008.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9010
Earlier:
An Algorithm for Matching 3-D Line Segments with Application
to Multiple-Object Motion Estimation,
CVWS87(151-156).
A simple matching scheme with 3-D data for the segments given by a
hand match of stereo pairs. The data is very clean (depends on the
stereo matching data to be clean) so the claims of broken line
matching are not tested.
BibRef
Murray, D.W., and
Cook, D.B.,
Using the Orientation of Fragmentary 3D Edge Segments
for Polyhedral Object Recognition,
IJCV(2), No. 2, September 1988, pp. 153-169.
Reduce the search space for 3D edge data to 3D models.
BibRef
8809
Boyter, B.A., and
Aggarwal, J.K.,
Recognition of Polyhedra from Range Data,
IEEE_EXPERT(1), Spring 1986, pp. 47-59.
Recognize Line Models. The use of ranging devices to get surfaces, then the
identity of the polyhedra.
BibRef
8600
Brady, J.P.,
Nandhakumar, N., and
Aggarwal, J.K.,
Recent Progress in the Recognition of Objects from Range Data,
IVC(7), No. 4, November 1989, pp. 295-307.
WWW Version.
BibRef
8911
Earlier:
ICPR88(I: 85-92).
WWW Version.
IEEE Top Reference.
BibRef
And:
Univ. of Texas-TR-88-1-46, January 1988.
Survey, Descriptions, Three-Dimensional.
Descriptions, Three-Dimensional.
Recognize Range Data.
BibRef
Magee, M.J.,
Boyter, B.A.[Brian A.],
Chien, C.H., and
Aggarwal, J.K.,
Experiments in Intensity Guided Range
Sensing Recognition of Three-Dimensional Objects,
PAMI(7), No. 6, November 1985, pp. 629-637.
Recognize Three-Dimensional Objects.
Continuation of AND and OR combination of range and intensity data.
See also Experiments in Combining Intensity and Range Edge Maps. For use in motion setimation:
See also Determining Motion Parameters Using Intensity Guided Range Sensing.
BibRef
8511
Magee, M.J., and
Aggarwal, J.K.,
Intensity Guided Range Sensing Recognition of Three-Dimensional Objects,
CVPR83(550-552).
BibRef
8300
Boyter, B.A.,
Aggarwal, J.K.,
Recognition with Range and Intensity Data,
CVWS84(112-117).
BibRef
8400
Gu, W.K.,
Yang, J.Y., and
Huang, T.S.,
Matching Perspective Views of a Polyhedron Using Circuits,
PAMI(9), No. 3, May 1987, pp. 390-400.
BibRef
8705
Earlier:
Matching Perspective Views of a 3-D Object Using Circuits,
ICPR84(441-443).
Use string representation of the circuit around the polyhedron, and
match the strings.
BibRef
Karasick, M.,
The Same-Object Problem for Polyhedral Solids,
CVGIP(46), No. 1, April 1989, pp. 22-36.
BibRef
8904
Byun, J.E.,
Nagata, T.,
Active Visual Sensing of the 3-D Pose of a Flexible Object,
Robotica(14), No. 2, March-April 1996, pp. 173-188.
BibRef
9603
Byun, J.E.,
Nagata, T.,
Determining the 3-D Pose of a Flexible Object by Stereo Matching
of Curvature Representations,
PR(29), No. 8, August 1996, pp. 1297-1307.
WWW Version.
9608
BibRef
Heisterkamp, D.R.,
Bhattacharya, P.,
Matching of 3D Polygonal Arcs,
PAMI(19), No. 1, January 1997, pp. 68-73.
IEEE Abstract. IEEE Top Reference.
WWW Version.
9702Define a distance metric between arcs of the same length. The minimum is the
smallest eigenvalue of a matrix. Use as a basis for arcs of unequal length.
2D Arcs:
See also Matching 2D Polygonal Arcs by Using a Subgroup of the Unit Quaternions.
BibRef
Murtagh, F.,
Lauberts, A.,
A Curve Matching Problem in Astronomy,
PRL(4), 1986, pp. 465-469.
BibRef
8600
Li, S.Z.,
Invariant Representation, Matching and Pose Estimation of 3D
Space-Curves Under Similarity Transformations,
PR(30), No. 3, March 1997, pp. 447-458.
WWW Version.
9705
BibRef
Li, S.Z.,
Recognizing Multiple Overlapping Objects in Image:
A Optimal Formulation,
IP(9), No. 2, February 2000, pp. 273-277.
WWW Version.
0003
BibRef
Kollnig, H.[Henner],
Nagel, H.H.[Hans-Hellmut],
3D Pose Estimation by Directly Matching Polyhedral Models to
Gray Value Gradients,
IJCV(23), No. 3, June-July 1997, pp. 283-302.
WWW Version.
9708
BibRef
Earlier:
3D Pose Estimation by Fitting Image Gradients Directly to
Polyhedral Models,
ICCV95(569-574).
WWW Version.
WWW Version. Pose in a motion sequence, fit the image gradient to the
polyhedral model.
BibRef
Kohlhepp, P.[Peter],
Fischer, D.[Daniel],
Hoffmann, E.[Ekkehard],
Intrinsic line features and contour metric for locating 3-D objects in
sparse, segmented range images,
IVC(17), No. 5/6, April 1999, pp. 403-417.
WWW Version.
See also evolutionary algorithm for the registration of 3-d surface representations, An.
BibRef
9904
Csurka, G.[Gabriella],
Demirdjian, D.[David],
Horaud, R.[Radu],
Finding the Collineation between Two Projective Reconstructions,
CVIU(75), No. 3, September 1999, pp. 260-268.
WWW Version.
BibRef
9909
Lourakis, M.I.A.[Manolis I.A.],
Tzurbakis, S.V.[Stavros V.],
Argyros, A.A.[Antonis A.],
Orphanoudakis, S.C.[Stelios C.],
Feature transfer and matching in disparate stereo views through the use
of plane homographies,
PAMI(25), No. 2, February 2003, pp. 271-276.
IEEE Abstract. IEEE Top Reference.
WWW Version.
0301
BibRef
Earlier:
Using Geometric Constraints for Matching Disparate Stereo Views of 3d
Scenes Containing Planes,
ICPR00(Vol I: 419-422).
WWW Version.
HTML Version.
0009Given point or line
features in 2 stereo images, match them with features from a second
pair. Assume scene has 2 planar surfaces.
BibRef
de Trazegnies, C.,
Urdiales García, C.[Cristina],
Bandera Rubio, A.[Antonio],
Sandoval Hernández, F.[Francisco],
3D object recognition based on curvature information of planar views,
PR(36), No. 11, November 2003, pp. 2571-2584.
WWW Version.
0309
See also Hidden Markov Model object recognition technique for incomplete and distorted corner sequences, A.
See also Planar shape indexing and retrieval based on Hidden Markov Models.
BibRef
Winkelbach, S.[Simon],
Wahl, F.M.[Friedrich M.],
Pairwise Matching of 3D Fragments Using Cluster Trees,
IJCV(78), No. 1, June 2008, pp. 1-13.
WWW Version.
0803
BibRef
Winkelbach, S.[Simon],
Rilk, M.[Markus],
Schönfelder, C.[Christoph],
Wahl, F.M.[Friedrich M.],
Fast Random Sample Matching of 3d Fragments,
DAGM04(129-136).
WWW Version.
0505
BibRef
Hospital, M.,
Yamada, H.,
Kasvand, T.,
Umeyama, S.,
3D Curve Based Matching Method Using Dynamic Programming,
ICCV87(728-732).
BibRef
8700
Boyter, B.A.,
Three-Dimensional Matching Using Range Data,
CAIA84(211-216).
BibRef
8400
Pajdla, T.[Tomáš],
van Gool, L.J.[Luc J.],
Matching of 3D Curves Using Semi-Differential Invariants,
ICCV95(390-395).
WWW Version.
WWW Version.
BibRef
9500
And:
Efficient matching of space curves,
CAIP95(25-32).
WWW Version.
9509
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
3-D/3-D Matching Accumulation Techniques .