7.1.8.3 Three-Dimensional Interest Points, Depth Data Interest Points

Chapter Contents (Back)
Interest Points. 3D Points. More general: See also Interest Operators, Interest Points, Feature Points, Salient Points.

Robins, V., Wood, P.J., Sheppard, A.P.,
Theory and Algorithms for Constructing Discrete Morse Complexes from Grayscale Digital Images,
PAMI(33), No. 8, August 2011, pp. 1646-1658.
IEEE DOI 1107
Each cell of Morse complex corresponds to critical point in level set. BibRef

Delgado-Friedrichs, O.[Olaf], Robins, V.[Vanessa], Sheppard, A.P.[Adrian P.],
Skeletonization and Partitioning of Digital Images Using Discrete Morse Theory,
PAMI(37), No. 3, March 2015, pp. 654-666.
IEEE DOI 1502
BibRef
Earlier:
Morse theory and persistent homology for topological analysis of 3D images of complex materials,
ICIP14(4872-4876)
IEEE DOI 1502
Bridges BibRef

Song, R.[Ran], Liu, Y.H.[Yong-Huai], Martin, R.R.[Ralph R.], Rosin, P.L.[Paul L.],
3D point of interest detection via spectral irregularity diffusion,
VC(29), No. 6-8, June 2013, pp. 695-705.
WWW Link. 1306
BibRef

Zhao, Y.T.[Yi-Tian], Liu, Y.H.[Yong-Huai], Zeng, Z.M.[Zi-Ming],
Using Region-Based Saliency for 3D Interest Points Detection,
CAIP13(II:108-116).
Springer DOI 1311
BibRef

Zhao, Y.T.[Yi-Tian], Liu, Y.H.[Yong-Huai],
3D Interest Points Detection Using Symmetric Surround-Based Surface Saliency,
CIAP13(I:632-641).
Springer DOI 1311
BibRef

Citraro, L.[Leonardo], Mahmoodi, S.[Sasan], Darekar, A.[Angela], Vollmer, B.[Brigitte],
Extended three-dimensional rotation invariant local binary patterns,
IVC(62), No. 1, 2017, pp. 8-18.
Elsevier DOI 1706
Local, binary, patterns, (LBPs) BibRef

Sharif, H.[Helia], Hölzel, M.[Matthew],
A comparison of prefilters in ORB-based object detection,
PRL(93), No. 1, 2017, pp. 154-161.
Elsevier DOI 1706
Keypoint recognition BibRef


Teran, L.[Leizer], Mordohai, P.[Philippos],
3D Interest Point Detection via Discriminative Learning,
ECCV14(I: 159-173).
Springer DOI 1408
BibRef

Gao, T.[Tianshi], Stark, M.[Michael], Koller, D.[Daphne],
What Makes a Good Detector?: Structured Priors for Learning from Few Examples,
ECCV12(V: 354-367).
Springer DOI 1210
BibRef

Pepik, B.[Bojan], Stark, M.[Michael], Gehler, P.[Peter], Ritschel, T.[Tobias], Schiele, B.[Bernt],
3D object class detection in the wild,
SingleImage15(1-10)
IEEE DOI 1510
Computational modeling. More than 2D bounding box localization. Iterative extraction. BibRef

Holzer, S.[Stefan], Shotton, J.D.J.[Jamie D.J.], Kohli, P.[Pushmeet],
Learning to Efficiently Detect Repeatable Interest Points in Depth Data,
ECCV12(I: 200-213).
Springer DOI 1210
BibRef

Cao, Y.P.[Yan-Peng], McDonald, J.[John],
Viewpoint invariant features from single images using 3D geometry,
WACV09(1-6).
IEEE DOI 0912
BibRef

Viksten, F.[Fredrik], Nordberg, K.[Klas], Kalms, M.[Mikael],
Point-of-interest detection for range data,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Rotation Invariant Features .


Last update:Nov 18, 2017 at 20:56:18