7.1.8.4 Three-Dimensional Interest Points, Depth Data Interest Points

Chapter Contents (Back)
Interest Points. Interest Points, 3D. 3-D Points. More general:
See also Interest Operators, Interest Points, Feature Points, Salient Points. Larger scale 3D features:
See also Curvature and Features of Surfaces and Range Data. And:
See also Features of Surfaces and Range Data, Ridges, Edges.

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ICIP14(4872-4876)
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Song, R.[Ran], Liu, Y.H.[Yong-Huai], Martin, R.R.[Ralph R.], Rosin, P.L.[Paul L.],
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Zhao, Y.T.[Yi-Tian], Liu, Y.H.[Yong-Huai], Zeng, Z.M.[Zi-Ming],
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Zhao, Y.T.[Yi-Tian], Liu, Y.H.[Yong-Huai],
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A functional approach to rotation equivariant non-linearities for Tensor Field Networks,
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Deep learning, Tensors, Shape, Harmonic analysis, Pattern recognition BibRef

Poulenard, A.[Adrien], Rakotosaona, M.J.[Marie-Julie], Ponty, Y.[Yann], Ovsjanikov, M.[Maks],
Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels,
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Kernel, Convolution, Harmonic analysis, Shape, Computer architecture, Task analysis, Shape analysis, Shape recognition BibRef

Guo, H.[Han], Niu, D.M.[Dong-Mei], Zhang, M.X.[Ming-Xuan], Zhao, X.Y.[Xiu-Yang], Yang, B.[Bo], Zhang, C.M.[Cai-Ming],
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Lühr, D.[Daniel], Adams, M.[Martin], Houshiar, H.[Hamidreza], Borrmann, D.[Dorit], Nüchter, A.[Andreas],
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Ban, Y.[Yuseok], Lee, S.Y.[Sang-Youn],
Protuberance of depth: Detecting interest points from a depth image,
CVIU(194), 2020, pp. 102927.
Elsevier DOI 2005
Interest point detection, Depth image, Feature extraction, Protuberance of depth BibRef


Teng, H.Z.[Han-Zhe], Chatziparaschis, D.[Dimitrios], Kan, X.Y.[Xin-Yue], Roy-Chowdhury, A.K.[Amit K.], Karydis, K.[Konstantinos],
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Point cloud compression, Navigation, Estimation, Detectors, Color, Algorithms: 3D computer vision, Robotics BibRef

Jakab, T.[Tomas], Tucker, R.[Richard], Makadia, A.[Ameesh], Wu, J.J.[Jia-Jun], Snavely, N.[Noah], Kanazawa, A.J.[Ang-Joo],
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control,
CVPR21(12778-12787)
IEEE DOI 2111
Deformable models, Solid modeling, Shape control, Shape, Semantics, Pattern recognition BibRef

Jeon, S.[Sangryul], Min, D.B.[Dong-Bo], Kim, S.[Seungryong], Sohn, K.H.[Kwang-Hoon],
Joint Learning of Semantic Alignment and Object Landmark Detection,
ICCV19(7293-7302)
IEEE DOI 2004
convolutional neural nets, object detection, unsupervised learning, object landmark detection, Boosting BibRef

Azimi, S., Lall, B., Gandhi, T.K.,
Performance Evalution of 3D Keypoint Detectors and Descriptors for Plants Health Classification,
MVA19(1-6)
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biology computing, diseases, feature extraction, image classification, transforms, SIFT-SIFT combinations, Performance evaluation BibRef

Vasconcelos, L.O., Mancini, M., Boscaini, D., Caputo, B., Ricci, E.,
Structured Domain Adaptation for 3D Keypoint Estimation,
3DV19(57-66)
IEEE DOI 1806
Estimation, Task analysis, Adaptation models, Predictive models, Deep Learning BibRef

Azzi, C.[Charbel], Asmar, D.[Daniel], Fakih, A.[Adel], Zelek, J.[John],
Filtering 3D Keypoints Using GIST For Accurate Image-Based Localization,
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Yang, T.Y., Hsu, J.H., Lin, Y.Y., Chuang, Y.Y.,
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ICCV17(3334-3342)
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Khoury, M.[Marc], Zhou, Q.Y.[Qian-Yi], Koltun, V.[Vladlen],
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ICCV17(153-161)
IEEE DOI 1802
Local features, local geometry in point cloud. computational geometry, learning (artificial intelligence), compact geometric feature learning, geometric registration, BibRef

Teran, L.[Leizer], Mordohai, P.[Philippos],
3D Interest Point Detection via Discriminative Learning,
ECCV14(I: 159-173).
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Pepik, B.[Bojan], Stark, M.[Michael], Gehler, P.V.[Peter V.], 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
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Cao, Y.P.[Yan-Peng], McDonald, J.[John],
Viewpoint invariant features from single images using 3D geometry,
WACV09(1-6).
IEEE DOI 0912
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Viksten, F.[Fredrik], Nordberg, K.[Klas], Kalms, M.[Mikael],
Point-of-interest detection for range data,
ICPR08(1-4).
IEEE DOI 0812
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Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Rotation Invariant Features .


Last update:Apr 18, 2024 at 11:38:49