Loy, G.,
Zelinsky, A.,
Fast radial symmetry for detecting points of interest,
PAMI(25), No. 8, August 2003, pp. 959-973.
IEEE Abstract.
0308
BibRef
Earlier:
A Fast Radial Symmetry Transform for Detecting Points of Interest,
ECCV02(I: 358 ff.).
Springer DOI
0205
BibRef
Liu, W.[Wei],
Ribeiro, E.[Eraldo],
Detecting singular patterns in 2D vector fields using weighted Laurent
polynomial,
PR(45), No. 11, November 2012, pp. 3912-3925.
Elsevier DOI
1206
Vector fields; Singular-pattern detection; Scale- and
rotation-invariance; Complex-valued function; Laurent polynomials
BibRef
Xu, X.,
Tian, L.,
Feng, J.,
Zhou, J.,
OSRI: A Rotationally Invariant Binary Descriptor,
IP(23), No. 7, July 2014, pp. 2983-2995.
IEEE DOI
1407
Computer vision
BibRef
Zhang, C.H.[Chun-Hui],
Liang, J.[Jimin],
Zhang, J.[Jun],
Zhao, H.[Heng],
A new shape prior model with rotation invariance,
PRL(54), No. 1, 2015, pp. 82-88.
Elsevier DOI
1502
Shape prior model. Keypoints for object detection.
BibRef
Anwar, H.[Hafeez],
Zambanini, S.[Sebastian],
Kampel, M.[Martin],
Efficient Scale- and Rotation-Invariant Encoding of Visual Words for
Image Classification,
SPLetters(22), No. 10, October 2015, pp. 1762-1765.
IEEE DOI
1506
BibRef
Earlier:
Encoding Spatial Arrangements of Visual Words for Rotation-Invariant
Image Classification,
GCPR14(443-452).
Springer DOI
1411
image classification
See also Ancient Coin Classification Using Reverse Motif Recognition: Image-based classification of Roman Republican coins.
BibRef
Candemir, S.[Sema],
Borovikov, E.[Eugene],
Santosh, K.C.,
Antani, S.[Sameer],
Thoma, G.[George],
RSILC:
Rotation- and Scale-Invariant, Line-based Color-aware descriptor,
IVC(42), No. 1, 2015, pp. 1-12.
Elsevier DOI
1509
Image descriptor
BibRef
Liang, C.[Chao],
Yang, W.M.[Wen-Ming],
Zhou, F.[Fei],
Liao, Q.M.[Qing-Min],
Reflection and Rotation Invariant Uniform Patterns for Texture
Classification,
IEICE(E99-D), No. 5, May 2016, pp. 1400-1403.
WWW Link.
1605
BibRef
Liang, C.[Chao],
Yang, W.M.[Wen-Ming],
Zhou, F.[Fei],
Liao, Q.M.[Qing-Min],
RBM-LBP: Joint Distribution of Multiple Local Binary Patterns for
Texture Classification,
IEICE(E99-D), No. 11, November 2016, pp. 2828-2831.
WWW Link.
1611
BibRef
Zhao, W.T.[Wen-Teng],
Lu, Z.Q.[Zong-Qing],
Liao, Q.M.[Qing-Min],
Texture classification using uniform rotation invariant gradient,
ICIP15(3650-3654)
IEEE DOI
1512
local descriptor
BibRef
Yu, L.L.[Ling-Li],
Zhou, K.J.[Kai-Jun],
Yang, Y.L.[Yong-Liang],
Chen, H.C.[Hai-Chu],
Bionic RSTN invariant feature extraction method for image recognition
and its application,
IET-IPR(11), No. 4, April 2017, pp. 227-236.
DOI Link
1704
RSTN: rotation, scaling, translation, and noise invariant features.
BibRef
Yang, Y.[Yi],
Duan, F.J.[Fa-Jie],
Ma, L.[Ling],
Jiang, J.J.[Jia-Jia],
A Robust method for constructing rotational invariant descriptors,
SP:IC(60), No. 1, 2018, pp. 224-236.
Elsevier DOI
1712
Multi-neighborhood
BibRef
Yang, Y.[Yi],
Duan, F.J.[Fa-Jie],
Ma, L.[Ling],
A rotationally invariant descriptor based on mixed intensity feature
histograms,
PR(76), No. 1, 2018, pp. 162-174.
Elsevier DOI
1801
Rotation invariant
BibRef
Feraidooni, M.M.[Mohammad Mahdi],
Gharavian, D.[Davood],
A new approach for rotation-invariant and noise-resistant texture
analysis and classification,
MVA(29), No. 3, April 2018, pp. 455-466.
WWW Link.
1804
BibRef
Roy, S.K.[Swalpa Kumar],
Chanda, B.[Bhabatosh],
Chaudhuri, B.B.[Bidyut B.],
Banerjee, S.[Soumitro],
Ghosh, D.K.[Dipak Kumar],
Dubey, S.R.[Shiv Ram],
Local directional ZigZag pattern:
A rotation invariant descriptor for texture classification,
PRL(108), 2018, pp. 23-30.
Elsevier DOI
1805
Local ZigZag Pattern (), Local Directional ZigZag Pattern (),
Rotation invariance, Texture classification
BibRef
Sadeghi, B.[Bahman],
Jamshidi, K.[Kamal],
Vafaei, A.[Abbas],
Monadjemi, S.A.[S. Amirhassan],
2DIGH: a polar invariant local image descriptor based on joint
histogram,
VC(34), No. 11, November 2018, pp. 1579-1595.
Springer DOI
1810
BibRef
Kitagawa, M.[Masamichi],
Shimizu, I.[Ikuko],
Memory Saving Feature Descriptor Using Scale and Rotation Invariant
Patches around the Feature Ppoints,
IEICE(E102-D), No. 5, May 2019, pp. 1106-1110.
WWW Link.
1906
For phones and tablets. Compare to ORB, BRISK, AKAZE.
BibRef
Zhang, D.B.[Dong-Bo],
Chen, H.L.[Hong-Lei],
Yin, F.[Feng],
Chen, Z.Q.A.[Zhi-Qi-Ang],
Tang, H.Z.[Hong-Zhong],
Xu, H.X.[Hai-Xia],
Efficient and distinctive binary descriptor for rotated circular image
recognition,
MVA(30), No. 4, June 2019, pp. 749-761.
Springer DOI
1906
BibRef
Jiang, R.,
Mei, S.,
Ma, M.,
Zhang, S.,
Rotation-Invariant Feature Learning in VHR Optical Remote Sensing
Images via Nested Siamese Structure With Double Center Loss,
GeoRS(59), No. 4, April 2021, pp. 3326-3337.
IEEE DOI
2104
Feature extraction, Training, Remote sensing, Optical imaging,
Optical sensors, Object detection, Task analysis,
rotation-invariant
BibRef
You, Y.[Yang],
Lou, Y.J.[Yu-Jing],
Shi, R.X.[Ruo-Xi],
Liu, Q.[Qi],
Tai, Y.W.[Yu-Wing],
Ma, L.Z.[Li-Zhuang],
Wang, W.M.[Wei-Ming],
Lu, C.[Cewu],
PRIN/SPRIN: On Extracting Point-Wise Rotation Invariant Features,
PAMI(44), No. 12, December 2022, pp. 9489-9502.
IEEE DOI
2212
Feature extraction, Convolution, Shape, Recurrent neural networks,
Task analysis, Solid modeling, Point cloud, object analysis,
feature learning
BibRef
Wei, C.Y.[Chong-Yang],
Ni, W.P.[Wei-Ping],
Qin, Y.[Yao],
Wu, J.Z.[Jun-Zheng],
Zhang, H.[Han],
Liu, Q.[Qiang],
Cheng, K.[Kenan],
Bian, H.[Hui],
RiDOP: A Rotation-Invariant Detector with Simple Oriented Proposals
in Remote Sensing Images,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Bagad, P.[Piyush],
Eijkelboom, F.[Floor],
Fokkema, M.[Mark],
de Goede, D.[Danilo],
Hilders, P.[Paul],
Kofinas, M.[Miltiadis],
C-3PO: Towards Rotation Equivariant Feature Detection and Description,
VIPriors22(694-705).
Springer DOI
2304
BibRef
Lu, S.Y.[Sheng-Yu],
Mahmoodi, S.[Sasan],
Niranjan, M.[Mahesan],
Robust 3D rotation invariant local binary pattern for volumetric
texture classification,
ICPR22(578-584)
IEEE DOI
2212
Solid modeling, Image segmentation,
Lighting, Solids, Information filters, Robustness,
texture descriptors
BibRef
Soleimani, P.[Parastoo],
Li, K.F.[Kin Fun],
Capson, D.W.[David W.],
A circular shifting binary descriptor for efficient rotation
invariant image matching,
ICPR22(393-399)
IEEE DOI
2212
Image matching, Estimation, Hardware, Tuning
BibRef
Mehr, É.[Éloi],
Lieutier, A.[André],
Bermudez, F.S.[Fernando Sanchez],
Guitteny, V.[Vincent],
Thome, N.[Nicolas],
Cord, M.[Matthieu],
Manifold Learning in Quotient Spaces,
CVPR18(9165-9174)
IEEE DOI
1812
Geometry, not orientation.
Shape, Geometry, Space vehicles, Manifolds, Orbits, Solid modeling
BibRef
Yang, B.,
Chen, X.,
Zhang, Y.,
Flexible Rotation Invariant Bases from Orthogonal Moments,
ICPR18(1548-1553)
IEEE DOI
1812
Distortion, Numerical stability, Phase change materials,
Automation, Indexes, Measurement,
rotation moment invariants
BibRef
Deng, H.W.[Hao-Wen],
Birdal, T.[Tolga],
Ilic, S.[Slobodan],
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local
Descriptors,
ECCV18(VI: 620-638).
Springer DOI
1810
BibRef
Zhang, X.,
Liu, L.,
Xie, Y.,
Chen, J.,
Wu, L.,
Pietikäinen, M.,
Rotation Invariant Local Binary Convolution Neural Networks,
CEFR-LCV17(1210-1219)
IEEE DOI
1802
Active filters, Computer architecture,
Convolution, Image coding, Neural networks
BibRef
El Rhabi, Y.[Youssef],
Simon, L.[Loic],
Brun, L.[Luc],
Canet, J.L.[Josep Llados],
Lumbreras, F.[Felipe],
Information Theoretic Rotationwise Robust Binary Descriptor Learning,
SSSPR16(368-378).
Springer DOI
1611
See also BOLD: Binary online learned descriptor for efficient image matching.
BibRef
Zuo, C.L.[Cheng-Lin],
Jovanov, L.[Ljubomir],
Luong, H.Q.[Hiep Quang],
Goossens, B.[Bart],
Philips, W.[Wilfried],
Liu, Y.[Yu],
Zhang, M.J.[Mao-Jun],
Rotation invariant similarity measure for non-local self-similarity
based image denoising,
ICIP15(1618-1622)
IEEE DOI
1512
Image denoising; non-local means; rotation invariant; similarity measure
BibRef
Sharma, M.[Monika],
Ghosh, H.[Hiranmay],
Histogram of gradient magnitudes:
A rotation invariant texture-descriptor,
ICIP15(4614-4618)
IEEE DOI
1512
Image classification
BibRef
Akhoury, S.S.[Sharat Saurabh],
Laganière, R.[Robert],
Training Binary Descriptors for Improved Robustness and Efficiency in
Real-Time Matching,
CIAP13(II:288-298).
Springer DOI
1309
Keypoint extration. Allow scale and rotation sensitivity.
BibRef
Schmidt, U.[Uwe],
Roth, S.[Stefan],
Learning rotation-aware features:
From invariant priors to equivariant descriptors,
CVPR12(2050-2057).
IEEE DOI
1208
BibRef
Taquet, M.[Maxime],
Jacques, L.[Laurent],
Macq, B.[Benoit],
Jaume, S.[Sylvain],
Compact rotation invariant image descriptors by spectral trimming,
ICIP11(2033-2036).
IEEE DOI
1201
BibRef
Yue, S.C.[Si-Cong],
Wang, Q.[Qing],
Zhao, R.C.[Rong-Chun],
Feature Points Detection Using Combined Character Along Principal
Orientation,
MIRAGE07(128-138).
Springer DOI
0703
BibRef
Szumilas, L.[Lech],
Donner, R.[Rene],
Langs, G.[Georg],
Hanbury, A.[Allan],
Local Structure Detection with Orientation-invariant Radial
Configuration,
CVPR07(1-7).
IEEE DOI
0706
Feature, interest points.
BibRef
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Scale Invariant Features, SIFT, SURF, ASIFT .