7.1.8.1 Local Features, Computation, Analysis

Chapter Contents (Back)
Interest Points. Local Features. See also Scale Invariant Features, SIFT, SURF. See also Local Binary Patterns, LBP, Point Features. More general: See also Interest Operators, Interest Points, Feature Points, Salient Points.

Li, Y.H.[Yu-Hua], Maguire, L.[Liam],
Selecting Critical Patterns Based on Local Geometrical and Statistical Information,
PAMI(33), No. 6, June 2011, pp. 1189-1201.
IEEE DOI 1105
Find critical patterns that capture information for all classifiers. Edges, borders of separate classes. BibRef

Raytchev, B.[Bisser], Kikutsugi, Y.[Yuta], Tamaki, T.[Toru], Kaneda, K.[Kazufumi],
Embedding class information into local invariant features by low-dimensional retinotopic mapping,
MVA(24), No. 2, February 2013, pp. 407-418.
WWW Link. 1302
projecting the original feature descriptors into low-dimensional feature space BibRef

Li, H., Wei, Y., Li, L., Chen, C.L.P.[C.L. Philip],
Hierarchical Feature Extraction With Local Neural Response for Image Recognition,
Cyber(43), No. 2, April 2013, pp. 412-424.
IEEE DOI 1303
alternating between local coding and maximum pooling. BibRef

Zhou, Y., Panetta, K.A., Agaian, S.S., Chen, C.L.P.,
(n, k, p)-Gray Code for Image Systems,
Cyber(43), No. 2, April 2013, pp. 515-529.
IEEE DOI 1303
BibRef

Bruna, J.[Joan], Mallat, S.[Stephane],
Invariant Scattering Convolution Networks,
PAMI(35), No. 8, 2013, pp. 1872-1886.
IEEE DOI 1307
BibRef
Earlier:
Classification with scattering operators,
CVPR11(1561-1566).
IEEE DOI 1106
convolution networks; deformations; invariants; wavelets. Local descriptor including multiscale and multi-direction co-occurrence information computed with wavelet decompositions. Translation invariant image representation stable to deformations. BibRef

Martins, P., Carvalho, P., Gatta, C.,
Context-aware features and robust image representations,
JVCIR(25), No. 2, 2014, pp. 339-348.
Elsevier DOI 1402
Local features. BibRef

Huang, Z.Y.[Ze-Yi], Kang, W.X.[Wen-Xiong], Wu, Q.X.[Qiu-Xia], Chen, X.P.[Xiao-Peng],
A new descriptor resistant to affine transformation and monotonic intensity change,
CVIU(120), No. 1, 2014, pp. 117-125.
Elsevier DOI 1403
Local invariant descriptor. Resistant to Affine Transformation and Monotonic Intensity Change (RATMIC). BibRef

Tuytelaars, T.[Tinne], Mikolajczyk, K.[Krystian],
Local Invariant Feature Detectors: A Survey,
FTCGV(3), Issue 3, 2007, pp. 177-280.
DOI Link 1410
Survey, Features. Published June 2008. BibRef

Xu, Y.C.[Yong-Chao], Monasse, P., Géraud, T.[Thierry], Najman, L.[Laurent],
Tree-Based Morse Regions: A Topological Approach to Local Feature Detection,
IP(23), No. 12, December 2014, pp. 5612-5625.
IEEE DOI 1412
feature extraction BibRef

Xu, Y.C.[Yong-Chao], Géraud, T.[Thierry], Najman, L.[Laurent],
Connected Filtering on Tree-Based Shape-Spaces,
PAMI(38), No. 6, June 2016, pp. 1126-1140.
IEEE DOI 1605
Filtering See also Hierarchical Segmentation Using Tree-Based Shape Spaces. BibRef

Chen, S.H.[Shu-Han], Shi, W.R.[Wei-Ren], Lv, X.[Xiao],
Feature coding for image classification combining global saliency and local difference,
PRL(51), No. 1, 2015, pp. 44-49.
Elsevier DOI 1412
Image classification BibRef

Altintakan, U.L., Yazici, A.,
Towards Effective Image Classification Using Class-Specific Codebooks and Distinctive Local Features,
MultMed(17), No. 3, March 2015, pp. 323-332.
IEEE DOI 1502
Clustering methods BibRef

Yan, P.[Pu], Tang, J.[Jun], Zhu, M.[Ming], Liang, D.[Dong],
Local image descriptor based on spectral embedding,
IET-CV(9), No. 2, 2015, pp. 278-289.
DOI Link 1506
graph theory BibRef

Kang, W., Chen, X.,
Fast Representation Based on a Double Orientation Histogram for Local Image Descriptors,
IP(24), No. 10, October 2015, pp. 2915-2927.
IEEE DOI 1507
Detectors BibRef

Gao, Y.Q.[Yong-Qiang], Huang, W.L.[Wei-Lin], Qiao, Y.[Yu],
Local Multi-Grouped Binary Descriptor With Ring-Based Pooling Configuration and Optimization,
IP(24), No. 12, December 2015, pp. 4820-4833.
IEEE DOI 1512
computer vision BibRef

Shaban, A., Rabiee, H.R., Najibi, M., Yousefi, S.,
From Local Similarities to Global Coding: A Framework for Coding Applications,
IP(24), No. 12, December 2015, pp. 5074-5085.
IEEE DOI 1512
Dictionaries BibRef

Lee, M.H.[Man Hee], Cho, M.[Minsu], Park, I.K.[In Kyu],
Feature description using local neighborhoods,
PRL(68, Part 1), No. 1, 2015, pp. 76-82.
Elsevier DOI 1512
Feature description BibRef

Wu, S.[Song], Oerlemans, A.[Ard], Bakker, E.M.[Erwin M.], Lew, M.S.[Michael S.],
A comprehensive evaluation of local detectors and descriptors,
SP:IC(59), No. 1, 2017, pp. 150-167.
Elsevier DOI 1711
Local detector BibRef

Sedaghat, A.[Amin], Mohammadi, N.[Nazila],
Uniform competency-based local feature extraction for remote sensing images,
PandRS(135), No. Supplement C, 2018, pp. 142-157.
Elsevier DOI 1712
Image matching, Feature detector, Scale and space distribution, Robustness, Performance evaluation BibRef

Pham, M.T.[Minh-Tan], Lefèvre, S.[Sébastien], Aptoula, E.[Erchan],
Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification,
GeoRS(56), No. 2, February 2018, pp. 1199-1212.
IEEE DOI 1802
Feature extraction, Histograms, Hyperspectral imaging, Standards, Attribute profiles (APs), local feature-based APs (LFAPs), supervised classification BibRef

Song, T., Xin, L., Gao, C., Zhang, G., Zhang, T.,
Grayscale-Inversion and Rotation Invariant Texture Description Using Sorted Local Gradient Pattern,
SPLetters(25), No. 5, May 2018, pp. 625-629.
IEEE DOI 1805
feature extraction, gradient methods, image classification, image coding, image texture, sorting, LGP feature extraction, LGP_CR, texture feature BibRef

Chakraborti, T., McCane, B., Mills, S., Pal, U.,
LOOP Descriptor: Local Optimal-Oriented Pattern,
SPLetters(25), No. 5, May 2018, pp. 635-639.
IEEE DOI 1805
biology computing, computational complexity, feature extraction, image texture, object recognition, optimisation, GitHub, local optimal oriented pattern (LOOP) BibRef

Huang, Z.D.[Zhou-Di], Wei, Z.Z.[Zhen-Zhong], Zhang, G.J.[Guang-Jun],
RWBD: Learning Robust Weighted Binary Descriptor for Image Matching,
CirSysVideo(28), No. 7, July 2018, pp. 1553-1564.
IEEE DOI 1807
Features for matching. Benchmark testing, Fans, Image matching, Kernel, Object recognition, Real-time systems, Robustness, Binary descriptor, Gaussian kernel, image matching BibRef


Martins, V.[Valdomiro], Ribeiro, T.[Thiago], Martinez, A.C.[Ana Claudia], Abdala, D.[Daniel],
Taking the Most of Existing Image Descriptors: A Hybrid Approach,
WVC17(96-101)
IEEE DOI 1804
new image descriptor based on the aggregation of multiple pre-existing image descriptors. feature extraction, image processing, statistical analysis, visual databases, first order statistical measurements, image retrieval BibRef

Arnfred, J.T., Nguyen, V.D., Winkler, S.,
BAFT: Binary affine feature transform,
ICIP17(2821-2825)
IEEE DOI 1803
Detectors, Eigenvalues and eigenfunctions, Feature extraction, Matrix decomposition, Robustness, Transforms, Velocity measurement BibRef

Zhang, X.[Xu], Yu, F.X.[Felix X.], Kumar, S., Chang, S.F.[Shih-Fu],
Learning Spread-Out Local Feature Descriptors,
ICCV17(4605-4613)
IEEE DOI 1802
feature extraction, image representation, learning (artificial intelligence), Training BibRef

Zhang, X.[Xu], Yu, F.X.[Felix X.], Karaman, S.[Svebor], Chang, S.F.[Shih-Fu],
Learning Discriminative and Transformation Covariant Local Feature Detectors,
CVPR17(4923-4931)
IEEE DOI 1711
Detectors, Feature extraction, Robustness, Shape, Standards, Training BibRef

Liao, W.H.[Wen-Hung], Wu, C.C.[Chia-Chen], Lin, M.C.[Ming-Ching],
Feature descriptor based on local intensity order relations of pixel group,
ICPR16(1977-1981)
IEEE DOI 1705
Benchmark testing, Degradation, Encoding, Histograms, Image recognition, Indexes, Standards, local descriptors, local intensity order patterns (LIOP), local intensity order relations (LIOR) BibRef

Duan, Y.Q.[Yue-Qi], Lu, J.W.[Ji-Wen], Wang, Z.W.[Zi-Wei], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Learning Deep Binary Descriptor with Multi-quantization,
CVPR17(4857-4866)
IEEE DOI 1711
Binary codes, Image reconstruction, Learning systems, Quantization (signal), Training, Visualization BibRef

Lin, K.[Kevin], Lu, J.W.[Ji-Wen], Chen, C.S.[Chu-Song], Zhou, J.[Jie],
Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks,
CVPR16(1183-1192)
IEEE DOI 1612
Learn a local descriptor for top level of layered network. BibRef

Johansson, J.[Johan], Solli, M.[Martin], Maki, A.[Atsuto],
An Evaluation of Local Feature Detectors and Descriptors for Infrared Images,
LocalFea16(III: 711-723).
Springer DOI 1611
BibRef

Zhou, H.[Hao], Sattler, T.[Torsten], Jacobs, D.W.[David W.],
Evaluating Local Features for Day-Night Matching,
LocalFea16(III: 724-736).
Springer DOI 1611
BibRef

Kang, Y.[Yimei], Li, X.[Xiang],
A Novel Tiny Object Recognition Algorithm Based on Unit Statistical Curvature Feature,
ECCV16(V: 762-777).
Springer DOI 1611
Based on local feature detector BibRef

Ferdowsi, S., Voloshynovskiy, S.[Slava], Kostadinov, D.[Dimche],
A multi-layer image representation using regularized residual quantization: Application to compression and denoising,
ICIP17(2697-2701)
IEEE DOI 1803
Distortion, Image coding, Noise reduction, Principal component analysis, Quantization (signal), learning to compress BibRef

Kostadinov, D.[Dimche], Voloshynovskiy, S.[Slava], Diephuis, M.[Maurits], Ferdowsi, S., Holotyak, T.[Taras],
Local Active Content Fingerprint: Solutions for general linear feature maps,
ICPR16(949-954)
IEEE DOI 1705
BibRef
And: A1, A2, A3, A5, Only:
Local active content fingerprinting: Optimal solution under linear modulation,
ICIP16(3917-3921)
IEEE DOI 1610
Distortion, Feature extraction, Matrix decomposition, Modulation, Quantization (signal), Robustness, Transforms, AWGN. Local, patch-based descriptors. BibRef

Rashwan, H.A.[Hatem A.], Chambon, S.[Sylvie], Gurdjos, P.[Pierre], Morin, G.[Géraldine], Charvillat, V.[Vincent],
Towards multi-scale feature detection repeatable over intensity and depth images,
ICIP16(36-40)
IEEE DOI 1610
Local features at multiple locations. Detectors BibRef

Ferrarini, B.[Bruno], Ehsan, S.[Shoaib], Rehman, N.U.[Naveed Ur], Leonardis, A.[Ales], McDonald-Maier, K.D.[Klaus D.],
Automatic Selection of the Optimal Local Feature Detector,
ICIAR16(284-289).
Springer DOI 1608
BibRef

Ehsan, S.[Shoaib], Clark, A.F., Ferrarini, B., Rehman, N.U.[Naveed Ur], McDonald-Maier, K.D.[Klaus D.],
Assessing the performance bounds of local feature detectors: Taking inspiration from electronics design practices,
WSSIP15(166-169)
IEEE DOI 1603
data compression BibRef

Rusinol, M.[Maral], Chazalon, J.[Joseph], Ogier, J.M.[Jean-Marc], Llados, J.[Josep],
A comparative study of local detectors and descriptors for mobile document classification,
ICDAR15(596-600)
IEEE DOI 1511
BibRef

Saad, S.[Shimaa], Sagheer, A.[Alaa],
Difference-Based Local Gradient Patterns for Image Representation,
CIAP15(II:472-482).
Springer DOI 1511
BibRef

Lee, K.D.[Keun-Dong], Lee, S.J.[Seung-Jae], Oh, W.G.[Weon-Geun],
Accelerating Local Feature Extraction Using Two Stage Feature Selection and Partial Gradient Computation,
IMEV14(366-380).
Springer DOI 1504
Feature extraction for MPEG coding. BibRef

Varytimidis, C.[Christos], Rapantzikos, K.[Konstantinos], Avrithis, Y.[Yannis], Kollias, S.[Stefanos],
Improving Local Features by Dithering-Based Image Sampling,
ACCV14(II: 601-613).
Springer DOI 1504
BibRef

Barroso, T.M.[Tony Marrero], Ghita, O.[Ovidiu], Whelan, P.F.[Paul F.],
Evaluating the performance and correlation of colour invariant local image feature detectors,
ICIP14(5751-5755)
IEEE DOI 1502
Correlation BibRef

Kim, W.J.[Won-Jun], Yoo, B.I.[Byung In], Han, J.J.[Jae-Joon],
HDO: A novel local image descriptor,
ICIP14(5671-5675)
IEEE DOI 1502
Coherence BibRef

Margolin, R.[Ran], Zelnik-Manor, L.[Lihi], Tal, A.[Ayellet],
OTC: A Novel Local Descriptor for Scene Classification,
ECCV14(VII: 377-391).
Springer DOI 1408
Oriented Texture Curves (OTC). BibRef

Phan, D.[Dung], Oh, C.M.[Chi-Min], Kim, S.H.[Soo-Hyung], Na, I.S.[In-Seop], Lee, C.W.[Chil-Woo],
Object Recognition by Combining Binary Local Invariant Features and Color Histogram,
ACPR13(466-470)
IEEE DOI 1408
feature extraction BibRef

Iwamoto, K.[Kota], Mase, R.[Ryota], Nomura, T.[Toshiyuki],
BRIGHT: A scalable and compact binary descriptor for low-latency and high accuracy object identification,
ICIP13(2915-2919)
IEEE DOI 1402
Local descriptor BibRef

Ren, W.Q.[Wei-Qiang], Huang, Y.Z.[Yong-Zhen], Zhao, X.[Xin], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Local Hypersphere Coding Based on Edges between Visual Words,
ACCV12(I:190-203).
Springer DOI 1304
BibRef

Li, S.M.[Shi-Miao], Xiong, W.[Wei],
Glocal shape context descriptor in cluttered images,
ICPR12(3704-3707).
WWW Link. 1302
fine scale edges in center, coarse on outer region. BibRef

Yang, Y.Q.[Yi-Qing], Li, Z.Y.[Zhou-Yuan], Zhang, L.[Li], Murphy, C.J.[Christopher J.], Hoeve, J.V.[Jim Ver], Jiang, H.R.[Hong-Rui],
Local Label Descriptor for Example Based Semantic Image Labeling,
ECCV12(VII: 361-375).
Springer DOI 1210
Label histograms for each cell in a patch. BibRef

Larsen, A.B.L.[Anders Boesen Lindbo], Darkner, S.[Sune], Dahl, A.L.[Anders Lindbjerg], Pedersen, K.S.[Kim Steenstrup],
Jet-Based Local Image Descriptors,
ECCV12(III: 638-650).
Springer DOI 1210
based on differential geometry BibRef

Varytimidis, C.[Christos], Rapantzikos, K.[Konstantinos], Avrithis, Y.S.[Yannis S.],
WaSH: Weighted alpha-Shapes for Local Feature Detection,
ECCV12(II: 788-801).
Springer DOI 1210
BibRef

Medathati, N.V.K.[N.V. Kartheek], Sivaswamy, J.[Jayanthi],
Local descriptor based on texture of projections,
ICCVGIP10(398-404).
DOI Link 1111
For region description BibRef

Fan, B.[Bin], Wu, F.C.[Fu-Chao], Hu, Z.Y.[Zhan-Yi],
Aggregating gradient distributions into intensity orders: A novel local image descriptor,
CVPR11(2377-2384).
IEEE DOI 1106
BibRef

Lee, W.T.[Wei-Ting], Chen, H.T.[Hwann-Tzong],
Probing the local-feature space of interest points,
ICIP10(857-860).
IEEE DOI 1009
BibRef

Joly, A.[Alexis],
New local descriptors based on dissociated dipoles,
CIVR07(573-580).
DOI Link 0707
BibRef

Nakayama, H.[Hideki], Harada, T.[Tatsuya], Kuniyoshi, Y.[Yasuo],
Scene Classification Using Generalized Local Correlation,
MVA09(195-).
PDF File. 0905
BibRef

Janney, P.[Pranam], Geers, G.[Glenn],
IFLT Based Real-Time Framework for Image Matching,
ICPR10(2242-2245).
IEEE DOI 1008
Invariant Features of Local Textures (IFLT) BibRef

Lai, Z.H.[Zhi-Hui], Jin, Z.[Zhong], Yang, J.[Jian], Wong, W.K.,
Sparse Local Discriminant Projections for Feature Extraction,
ICPR10(926-929).
IEEE DOI 1008
BibRef

Carneiro, G.[Gustavo],
A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors,
ICPR10(3356-3359).
IEEE DOI 1008
BibRef

Tang, F.[Feng], Lim, S.H.[Suk Hwan], Chang, N.L.[Nelson L.],
An improved local feature descriptor via soft binning,
ICIP10(861-864).
IEEE DOI 1009
BibRef

Cheng, B.S.[Bang-Sheng],
Local tensor descriptor from micro-deformation analysis,
CVPR08(1-8).
IEEE DOI 0806
local image structure BibRef

Garcia-Tubio, M.P.[Manuel Pascual], Wildenauer, H.[Horst], Szumilas, L.[Lech],
Combining Geometry and Local Appearance for Object Detection,
ICPR10(4024-4027).
IEEE DOI 1008
BibRef

Vedaldi, A.[Andrea], Soatto, S.[Stefano],
Local Features, All Grown Up,
CVPR06(II: 1753-1760).
IEEE DOI 0606
BibRef

Vedaldi, A.[Andrea], Soatto, S.[Stefano],
Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions,
ECCV06(II: 360-373).
Springer DOI 0608
BibRef
Earlier:
Features for Recognition: Viewpoint Invariance for Non-Planar Scenes,
ICCV05(II: 1474-1481).
IEEE DOI 0510
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Keypoint Detection .


Last update:Jul 19, 2018 at 13:26:08