12.2.3.1 3-D/3-D Matching Accumulation Techniques

Chapter Contents (Back)
Matching, Lines. Matching, Accumulation. Hough. Engelbrecht, J.R.[Jan R.], and Wahl, F.M.[Friedrich M.],
Polyhedral Object Recognition Using Hough-Space Features,
PR(21), No. 2, 1988, pp. 155-167.
Elsevier DOI BibRef 8800

Krüger, N.[Norbert], Peters, G.[Gabriele],
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Metrically Organized Local Line Detectors,
CVIU(77), No. 1, January 2000, pp. 48-77.
DOI Link 0001
BibRef

Krüger, N., Lüdtke, N.,
Orassyll: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors,
BMVC98(xx-yy). BibRef 9800

Krüger, N.[Norbert],
Object Recognition with Representations Based on Sparsified Gabor Wavelets used as Local Line Detectors,
CAIP99(225-233).
Springer DOI 9909
BibRef

Peters, G.[Gabriele],
A Vision System for Interactive Object Learning,
CVS06(32).
IEEE DOI 0602
BibRef

Sidorova, J., Anisimova, M.,
NLP-inspired structural pattern recognition in chemical application,
PRL(45), No. 1, 2014, pp. 11-16.
Elsevier DOI 1407
Structural pattern recognition BibRef


Geiger, D.[Davi], Kedem, Z.M.[Zvi M.],
Quantum Interference and Shape Detection,
EMMCVPR17(18-33).
Springer DOI 1805
large shape deformations and occlusions. Voting scheme. BibRef

Buch, A.G., Kiforenko, L., Kraft, D.,
Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition,
ICCV17(4137-4145)
IEEE DOI 1802
Hough transforms, data handling, feature extraction, group theory, object recognition, pattern clustering, pose estimation, vectors, BibRef

Katsoulas, D.[Dimitrios],
Localization of Piled Boxes by Means of the Hough Transform,
DAGM03(44-51).
Springer DOI 0310
BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Line Based Matching for Pose Estimation .


Last update:Nov 17, 2018 at 09:12:27