2-D/2-D Lines Accumuation Techniques

Chapter Contents (Back)
Matching, Accumulation. Matching, Lines.

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
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

Fitzgibbon, A.W.[Andrew W.],
Robust registration of 2D and 3D point sets,
IVC(21), No. 12-13, December 2003, pp. 1145-1153.
WWW Link. 0401
Earlier: BMVC01(Session 5: Matching & Retrieval).
HTML Version. 0110
University of Oxford. General-purpose non-linear optimization, Levenberg-Marquardt. ICP. BibRef

Luo, J.[Jing], Teng, X.[Xichao], Zhang, X.[Xiaohu], Zhong, L.J.[Li-Jun],
Structure extraction of straight wing aircraft using consistent line clustering,
Aircraft, Clustering algorithms, Detectors, Feature extraction, Image segmentation, Military aircraft, Pose estimation, k-means++, line clustering, line segment detector, mean-shift, straight wing, structure, extraction BibRef

McFarlane, N.J.B., Tillett, R.D.,
Fitting 3D point distribution models of fish to stereo images,
HTML Version. 0209

Marouani, S., Huertas, A., Medioni, G.,
Model-Based Aircraft Recognition in Perspective Aerial Imagery,
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 .

Last update:Sep 22, 2017 at 21:00:01