Horaud, R.[Radu], and
Skordas, T.[Thomas],
Stereo Correspondence Through Feature Grouping and Maximal Cliques,
PAMI(11), No. 11, November 1989, pp. 1168-1180.
IEEE DOI
BibRef
8911
And:
Structural Matching for Stereo Vision,
ICPR88(I: 439-445).
IEEE DOI Stereo matching based on line systems forming a relational graph
structure. Match is converted to a graph with a node for each pair
correspondence (that fits) and a link for compatible matches. The
result is the maximal clique in the graph.
BibRef
Berman, A.,
Dayan, J.,
Piecewise Straight-Line Correlation Algorithm for Navigation of
Autonomous Systems with Robotics Applications,
JIRS(10), No. 3, July 1994, pp. 301-321.
BibRef
9407
Chang, Y.L.,
Aggarwal, J.K.,
Line Correspondences from Cooperating Spatial and Temporal Grouping
Processes for a Sequence of Images,
CVIU(67), No. 2, August 1997, pp. 186-201.
DOI Link
9708
BibRef
Fitzgibbon, A.W.[Andrew W.],
Robust registration of 2D and 3D point sets,
IVC(21), No. 12-13, December 2003, pp. 1145-1153.
Elsevier DOI
0401
BibRef
Earlier:
BMVC01(Session 5: Matching & Retrieval).
HTML Version.
0110
University of Oxford.
General-purpose non-linear optimization, Levenberg-Marquardt.
ICP.
BibRef
McFarlane, N.J.B.,
Tillett, R.D.,
Fitting 3D point distribution models of fish to stereo images,
BMVC97(xx-yy).
HTML Version.
0209
BibRef
Marouani, S.,
Huertas, A.,
Medioni, G.,
Model-Based Aircraft Recognition in Perspective Aerial Imagery,
SCV95(371-376).
IEEE DOI
BibRef
9500
USC Computer VisionUniversity of Southern California.
Basic accumlation match on line segments.
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
2-D Lines with 3-D Structure .