Huang, D.,
Zhu, C.,
Wang, Y.,
Chen, L.,
HSOG: A Novel Local Image Descriptor Based on Histograms of the
Second-Order Gradients,
IP(23), No. 11, November 2014, pp. 4680-4695.
IEEE DOI
1410
Geometry
BibRef
Sinha, A.[Atreyee],
Banerji, S.[Sugata],
Liu, C.J.[Cheng-Jun],
New color GPHOG descriptors for object and scene image classification,
MVA(25), No. 2, February 2014, pp. 361-375.
WWW Link.
1402
BibRef
Earlier:
Novel Gabor-PHOG Features for Object and Scene Image Classification,
SSSPR12(584-592).
Springer DOI
1211
BibRef
And: A2, A1, A3:
A New Bag of Words LBP (BoWL) Descriptor for Scene Image Classification,
CAIP13(490-497).
Springer DOI
1308
BibRef
Banerji, S.[Sugata],
Sinha, A.[Atreyee],
Liu, C.J.[Cheng-Jun],
Novel color HWML descriptors for scene and object image
classification,
IPTA12(330-335)
IEEE DOI
1503
Haar transforms
BibRef
Hanbay, K.[Kazim],
Alpaslan, N.[Nuh],
Talu, M.F.[Muhammed Fatih],
Hanbay, D.[Davut],
Karci, A.[Ali],
Kocamaz, A.F.[Adnan Fatih],
Continuous rotation invariant features for gradient-based texture
classification,
CVIU(132), No. 1, 2015, pp. 87-101.
Elsevier DOI
1502
HOG
BibRef
Alpaslan, N.[Nuh],
Hanbay, K.[Kazim],
Multi-Scale Shape Index-Based Local Binary Patterns for Texture
Classification,
SPLetters(27), 2020, pp. 660-664.
IEEE DOI
2005
Shape, Indexes, Feature extraction, Kernel, Lighting, Windows,
Histograms, Feature representation, local binary pattern,
texture descriptors
BibRef
Vondrick, C.[Carl],
Khosla, A.[Aditya],
Pirsiavash, H.[Hamed],
Malisiewicz, T.[Tomasz],
Torralba, A.B.[Antonio B.],
Visualizing Object Detection Features,
IJCV(119), No. 2, September 2016, pp. 145-158.
Springer DOI
1608
BibRef
Earlier: A1, A2, A4, A5, Only:
HOGgles: Visualizing Object Detection Features,
ICCV13(1-8)
IEEE DOI
1403
hog; hoggles; object detection; visualization
BibRef
Ren, H.Y.[Hao-Yu],
Li, Z.N.[Ze-Nian],
Object detection using boosted local binaries,
PR(60), No. 1, 2016, pp. 793-801.
Elsevier DOI
1609
BibRef
Earlier:
Object recognition based on deformable edge set,
ICIP15(2439-2443)
IEEE DOI
1512
BibRef
Earlier:
Object detection using edge histogram of oriented gradient,
ICIP14(4057-4061)
IEEE DOI
1502
Binary descriptor.
Deformable edge; Edge template; Matching score; PCA; RealAdaBoost.
Equations
BibRef
Ren, H.Y.[Hao-Yu],
Heng, C.K.[Cher-Keng],
Zheng, W.[Wei],
Liang, L.[Luhong],
Chen, X.L.[Xi-Lin],
Fast object detection using boosted co-occurrence histograms of
oriented gradients,
ICIP10(2705-2708).
IEEE DOI
1009
BibRef
Murtza, I.[Iqbal],
Abdullah, D.[Duraid],
Khan, A.[Asifullah],
Arif, M.[Muhammad],
Mirza, S.M.[Sikandar Majeed],
Cortex-inspired multilayer hierarchy based object detection system
using PHOG descriptors and ensemble classification,
VC(33), No. 1, January 2017, pp. 99-112.
Springer DOI
1702
PHOG: pyramid histogram of oriented gradients
BibRef
Lu, X.S.[Xiu-Sheng],
Yao, H.X.[Hong-Xun],
Sun, X.[Xin],
Zhang, Y.H.[Yan-Hao],
Locally aggregated histogram-based descriptors,
SIViP(12), No. 2, February 2018, pp. 323-330.
WWW Link.
1802
BibRef
Lu, X.S.[Xiu-Sheng],
Zhang, S.P.[Sheng-Ping],
Yao, H.X.[Hong-Xun],
Sun, X.[Xin],
Zhang, Y.H.[Yan-Hao],
Histograms of locally aggregated oriented gradients,
ICIP15(1270-1274)
IEEE DOI
1512
HOG; Object recognition; VLAD; image descriptor
BibRef
Omid-Zohoor, A.[Alex],
Young, C.[Christopher],
Ta, D.[David],
Murmann, B.[Boris],
Toward Always-On Mobile Object Detection: Energy Versus Performance
Tradeoffs for Embedded HOG Feature Extraction,
CirSysVideo(28), No. 5, May 2018, pp. 1102-1115.
IEEE DOI
1805
Databases, Deformable models, Feature extraction, Hardware,
Histograms, Object detection, Pipelines,
people detection
BibRef
Xie, L.[Lin],
Lee, F.F.[Fei-Fei],
Liu, L.[Li],
Yin, Z.[Zhong],
Yan, Y.[Yan],
Wang, W.D.[Wei-Dong],
Zhao, J.J.[Jun-Jie],
Chen, Q.[Qiu],
Improved spatial pyramid matching for scene recognition,
PR(82), 2018, pp. 118-129.
Elsevier DOI
1806
Spatial pyramid matching (SPM), Spatial partition,
Histogram of oriented gradients (HOG), Autoencoder, Scene recognition
BibRef
Lenc, K.[Karel],
Vedaldi, A.[Andrea],
Understanding Image Representations by Measuring Their Equivariance and
Equivalence,
IJCV(127), No. 5, May 2019, pp. 456-476.
Springer DOI
1903
BibRef
Earlier:
CVPR15(991-999)
IEEE DOI
1510
histograms of oriented gradients and deep Convolutional Neural Networks (CNN).
Analysis of representations.
BibRef
Dehghani, A.,
Moloney, D.,
Griffin, I.,
Object recognition speed improvement using BITMAP-HoG,
ICIP16(659-663)
IEEE DOI
1610
BibRef
Earlier: A1, A2, Only:
Speed improvement of object recognition using Boundary-Bitmap of
histogram of oriented Gradients,
ICIVC16(51-56)
IEEE DOI
1610
General objects. HoG.
feature extraction.
Computational efficiency.
BibRef
Venkatrayappa, D.[Darshan],
Montesinos, P.[Philippe],
Diep, D.[Daniel],
Magnier, B.[Baptiste],
A Novel Image Descriptor Based on Anisotropic Filtering,
CAIP15(I:161-173).
Springer DOI
1511
BibRef
And:
RSD-HoG: A New Image Descriptor,
SCIA15(400-409).
Springer DOI
1506
See also Perceptual Color Image Smoothing via a New Region-Based PDE Scheme.
BibRef
Chiu, W.C.[Wei-Chen],
Fritz, M.[Mario],
See the Difference: Direct Pre-Image Reconstruction and Pose
Estimation by Differentiating HOG,
ICCV15(468-476)
IEEE DOI
1602
Computational modeling for HOG.
Histogram of Oriented Gradient.
BibRef
Kanezaki, A.[Asako],
Mukuta, Y.[Yusuke],
Harada, T.[Tatsuya],
Mirror reflection invariant HOG descriptors for object detection,
ICIP14(1594-1598)
IEEE DOI
1502
Correlation
BibRef
Iwata, S.[Sohei],
Enokida, S.[Shuichi],
Object Detection Based on Multiresolution CoHOG,
ISVC14(II: 427-437).
Springer DOI
1501
BibRef
Cataņo, M.A.[Miguel Angel],
Climent, J.[Juan],
Robust Keypoint Detection Using Dynamics,
ISMM13(402-412).
Springer DOI
1305
BibRef
Earlier:
Keypoint Detection Based on the Unimodality Test of HOGs,
ISVC12(I: 189-198).
Springer DOI
1209
histograms of oriented gradients
BibRef
Stefanou, S.S.[Stefanos S.],
Argyros, A.A.[Antonis A.],
Efficient Scale and Rotation Invariant Object Detection Based on HOGs
and Evolutionary Optimization Techniques,
ISVC12(I: 220-229).
Springer DOI
1209
BibRef
Zaytseva, E.[Ekaterina],
Seguí, S.[Santi],
Vitriā, J.[Jordi],
Sketchable Histograms of Oriented Gradients for Object Detection,
CIARP12(374-381).
Springer DOI
1209
BibRef
Norouznezhad, E.[Ehsan],
Harandi, M.T.[Mehrtash T.],
Bigdeli, A.[Abbas],
Baktash, M.[Mahsa],
Postula, A.[Adam],
Lovell, B.C.[Brian C.],
Directional Space-Time Oriented Gradients for 3D Visual Pattern
Analysis,
ECCV12(III: 736-749).
Springer DOI
1210
BibRef
Tatu, A.[Aditya],
Lauze, F.[Francois],
Nielsen, M.[Mads],
Kimia, B.B.[Benjamin B.],
Exploring the representation capabilities of the HOG descriptor,
ITCVPR11(1410-1417).
IEEE DOI
1201
BibRef
Lefakis, L.[Leonidas],
Wildenauer, H.[Horst],
Garcia-Tubio, M.P.[Manuel Pascual],
Szumilas, L.[Lech],
Boosted Edge Orientation Histograms for Grasping Point Detection,
ICPR10(4072-4076).
IEEE DOI
1008
BibRef
And:
Image-Based Grasping Point Detection Using Boosted Histograms of
Oriented Gradients,
ICIAR10(I: 200-209).
Springer DOI
1006
BibRef
Grand-Brochier, M.[Manuel],
Tilmant, C.[Christophe],
Dhome, M.[Michel],
Method of Interest Points Characterization Based C-HOG Local Descriptor,
ISVC10(III: 219-228).
Springer DOI
1011
BibRef
Skibbe, H.[Henrik],
Reisert, M.[Marco],
Burkhardt, H.[Hans],
SHOG: Spherical HOG Descriptors for Rotation Invariant 3D Object
Detection,
DAGM11(142-151).
Springer DOI
1109
BibRef
Chandrasekhar, V.[Vijay],
Takacs, G.[Gabriel],
Chen, D.[David],
Tsai, S.[Sam],
Grzeszczuk, R.[Radek],
Girod, B.[Bernd],
CHoG: Compressed histogram of gradients A low bit-rate feature
descriptor,
CVPR09(2504-2511).
IEEE DOI
0906
Store and transmit the features used in matching.
BibRef
Mitsui, T.[Tomokazu],
Fujiyoshi, H.[Hironobu],
Object detection by joint features based on two-stage boosting,
VS09(1169-1176).
IEEE DOI
0910
Multiple Histograms of oriented gradients.
BibRef
Skibbe, H.[Henrik],
Wang, Q.[Qing],
Ronneberger, O.[Olaf],
Burkhardt, H.[Hans],
Reisert, M.[Marco],
Fast computation of 3D spherical Fourier harmonic descriptors:
A complete orthonormal basis for a rotational invariant representation of
three-dimensional objects,
3DIM09(1863-1869).
IEEE DOI
0910
BibRef
Bileschi, S.M.[Stanley M.],
A Multi-Scale Generalization of the HoG and HMAX Image Descriptors
for Object Detection,
CSAIL-2008-019, April 2008.
WWW Link.
BibRef
0804
Bileschi, S.M.[Stan M.],
Wolf, L.B.[Lior B.],
A Unified System For Object Detection, Texture Recognition, and Context
Analysis Based on the Standard Model Feature Set,
BMVC05(xx-yy).
HTML Version.
0509
Study SMF (Standard Model Features)
(
See also Robust Object Recognition with Cortex-Like Mechanisms. ) for recognition.
BibRef
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Three-Dimensional Interest Points, Depth Data Interest Points .