7.1.8.2 HOG Analysis, Histogram of Oriented Gradient

Chapter Contents (Back)
Histogram of Oriented Gradient. HOG.

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

Vondrick, C.[Carl], Khosla, A.[Aditya], Pirsiavash, H.[Hamed], Malisiewicz, T.[Tomasz], Torralba, A.[Antonio],
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.[Haoyu], 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.[Haoyu], 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


Dehghani, A., Moloney, D., Xu, X.,
Face detection speed improvement using bitmap-based Histogram of Oriented gradien,
WSSIP17(1-5)
IEEE DOI 1707
Face, Face detection, Feature extraction, Histograms, Object detection, Training, HoG, SVM, bitmap, face, detection 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

Lenc, K.[Karel], Vedaldi, A.[Andrea],
Understanding image representations by measuring their equivariance and equivalence,
CVPR15(991-999)
IEEE DOI 1510
histograms of oriented gradients and deep Convolutional Neural Networks (CNN). Analysis of representations. BibRef

Lu, X.S.[Xiu-Sheng], Zhang, S.P.[Sheng-Ping], Yao, H.X.[Hong-Xun], Sun, X.[Xin], Zhang, Y.[Yanhao],
Histograms of locally aggregated oriented gradients,
ICIP15(1270-1274)
IEEE DOI 1512
HOG; Object recognition; VLAD; image descriptor 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.[Lior],
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 .


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