7.1.8.1 Local Features, Computation, Analysis

Chapter Contents (Back)
Interest Points. Local Features.
See also Scale Invariant Features, SIFT, SURF, ASIFT.
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.C.[Tie-Cheng], Li, H.L.[Hong-Liang], Meng, F.[Fanman], Wu, Q.B.[Qing-Bo], Luo, B.[Bing], Zeng, B.[Bing], Gabbouj, M.,
Noise-Robust Texture Description Using Local Contrast Patterns via Global Measures,
SPLetters(21), No. 1, January 2014, pp. 93-96.
IEEE DOI 1402
Gaussian noise BibRef

Song, T.C.[Tie-Cheng], Meng, F.[Fanman], Luo, B.[Bing], Huang, C.[Chao],
Robust texture representation by using binary code ensemble,
VCIP13(1-6)
IEEE DOI 1402
binary codes BibRef

Song, T.C.[Tie-Cheng], Xin, L.L.[Liang-Liang], Gao, C.Q.[Chen-Qiang], Zhang, G.[Gang], Zhang, T.Q.[Tian-Qi],
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

Song, T.C.[Tie-Cheng], Feng, J.[Jie], Luo, L.[Lin], Gao, C.Q.[Chen-Qiang], Li, H.L.[Hong-Liang],
Robust Texture Description Using Local Grouped Order Pattern and Non-Local Binary Pattern,
CirSysVideo(31), No. 1, January 2021, pp. 189-202.
IEEE DOI 2101
Encoding, Histograms, Feature extraction, Transforms, Computational modeling, Face, Databases, Texture classification, noise BibRef

Han, Y.J.[Yuan-Jing], Song, T.C.[Tie-Cheng], Feng, J.[Jie], Xie, Y.R.[Yu-Rui],
Grayscale-inversion and rotation invariant image description with sorted LBP features,
SP:IC(99), 2021, pp. 116491.
Elsevier DOI 2111
Image feature, Illumination, Rotation, Invariance, Local binary pattern, Texture classification BibRef

Song, T.C.[Tie-Cheng], Han, Y.J.[Yuan-Jing], Feng, J.[Jie], Wang, Y.L.[Yuan-Lin], Gao, C.Q.[Chen-Qiang],
First- and Second-Order Sorted Local Binary Pattern Features for Grayscale-Inversion and Rotation Invariant Texture Classification,
ICPR21(3706-3713)
IEEE DOI 2105
Histograms, Databases, Gray-scale, Feature extraction, Encoding, Pattern recognition, Sorting, Texture classification, local binary pattern BibRef

Huang, Y.[Yankai], Song, T.C.[Tie-Cheng], Li, S.[Shuang], Han, Y.J.[Yuan-Jing],
Local Grouped Invariant Order Pattern for Grayscale-Inversion and Rotation Invariant Texture Classification,
ICPR21(6632-6639)
IEEE DOI 2105
Histograms, Gray-scale, Image representation, Encoding, Pattern recognition BibRef

Song, T.C.[Tie-Cheng], Luo, L.[Lin], Xin, L.L.[Liang-Liang], Gao, C.Q.[Chen-Qiang],
Multi-Scale Cross-Band Encoding of Sectored Local Binary Pattern for Robust Texture Classification,
ICPR18(1163-1168)
IEEE DOI 1812
Histograms, Image coding, Feature extraction, Databases, Robustness, Encoding, Texture classification, feature extraction, Local Binary Pattern (LBP) BibRef

Song, T.C.[Tie-Cheng], Xin, L.L.[Liang-Liang], Luo, L.[Lin], Gao, C.Q.[Chen-Qiang],
Completed Grayscale-Inversion and Rotation Invariant Local Binary Pattern for Texture Classification,
ICPR18(2642-2647)
IEEE DOI 1812
Lighting, Histograms, Encoding, Gray-scale, Feature extraction, Binary codes, Image coding 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

Awan, A.B.[Ahmed B.], Rehman, S.[Saad], Bakhshi, A.D.[Asim D.],
Composite filtering strategy for improving distortion invariance in object recognition,
IET-IPR(12), No. 8, August 2018, pp. 1499-1509.
DOI Link 1808
BibRef

Schmid, B.J.[Benjamin J.], Adhami, R.[Reza],
Building Descriptors From Local Feature Neighborhoods for Applications in Semi-Dense 3D Reconstruction,
IP(27), No. 11, November 2018, pp. 5491-5500.
IEEE DOI 1809
Descriptor using location, magnitude, and orientation. feature extraction, image matching, image reconstruction, transforms, local feature neighborhoods, semi-dense 3D reconstruction BibRef

Fu, Z.T.[Zhi-Tao], Qin, Q.Q.[Qian-Qing], Luo, B.[Bin], Sun, H.[Hong], Wu, C.[Chun],
HOMPC: A Local Feature Descriptor Based on the Combination of Magnitude and Phase Congruency Information for Multi-Sensor Remote Sensing Images,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Mandeljc, R.[Rok], Maver, J.[Jasna],
AGs: Local descriptors derived from the dependent effects model,
JVCIR(58), 2019, pp. 503-514.
Elsevier DOI 1901
Local image descriptor, Dependent effects model, Image matching, Keypoint descriptor evaluation BibRef

Du, H.S.[Hai-Shun], Li, G.D.[Guo-Dong], Wang, S.[Sheng], Zhang, F.[Fan],
Discriminant locality preserving projections based on L2,p-norm for image feature extraction and recognition,
JVCIR(58), 2019, pp. 166-177.
Elsevier DOI 1901
Discriminant locality preserving projections, Subspace learning, Feature extraction, Image recognition BibRef

Bianconi, F.[Francesco], González, E.[Elena],
Counting local n-ary patterns,
PRL(117), 2019, pp. 24-29.
Elsevier DOI 1901
Mathematical analysis of various local features. Local image descriptors, Patterns, Necklaces, Bracelets BibRef

Elhaouari, K.[Kobzili], Cherif, L.[Larbes],
GMD: geometric model-based local binary descriptor,
SIViP(13), No. 2, March 2019, pp. 289-297.
Springer DOI 1904
Local features on a patch. BibRef

Lin, K.[Kevin], Lu, J.W.[Ji-Wen], Chen, C.S.[Chu-Song], Zhou, J.[Jie], Sun, M.T.[Ming-Ting],
Unsupervised Deep Learning of Compact Binary Descriptors,
PAMI(41), No. 6, June 2019, pp. 1501-1514.
IEEE DOI 1905
BibRef
Earlier: A1, A2, A3, A4, Only:
Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks,
CVPR16(1183-1192)
IEEE DOI 1612
Binary codes, Neural networks, Machine learning, Optimization, Task analysis, Visualization, Quantization (signal), convolutional neural networks. Learn a local descriptor for top level of layered network. BibRef

Wang, Z.[Ziwei], Lu, J.W.[Ji-Wen], Wu, Z.[Ziyi], Zhou, J.[Jie],
Learning Efficient Binarized Object Detectors With Information Compression,
PAMI(44), No. 6, June 2022, pp. 3082-3095.
IEEE DOI 2205
Detectors, Object detection, Redundancy, Complexity theory, Feature extraction, Quantization (signal), Mutual information, sparse priors 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,
PAMI(41), No. 8, August 2019, pp. 1924-1938.
IEEE DOI 1907
BibRef
Earlier: CVPR17(4857-4866)
IEEE DOI 1711
Binary codes, Quantization (signal), Learning systems, Machine learning, Encoding, Resource management, K-Autoencoders. Image reconstruction, Training. BibRef

Kabbai, L.[Leila], Abdellaoui, M.[Mehrez], Douik, A.[Ali],
Image classification by combining local and global features,
VC(35), No. 5, May 2019, pp. 679-693.
Springer DOI 1906
Image feature extraction. Modified version of local ternary pattern. BibRef

Guo, W.L.[Wu-Long], Hu, W.D.[Wei-Duo], Liu, C.[Chang], Lu, T.T.[Ting-Ting],
3D object recognition from cluttered and occluded scenes with a compact local feature,
MVA(30), No. 4, June 2019, pp. 763-783.
Springer DOI 1906
BibRef

Moren, K.[Konrad], Göhringer, D.[Diana],
A framework for accelerating local feature extraction with OpenCL on multi-core CPUs and co-processors,
RealTimeIP(16), No. 4, August 2019, pp. 901-918.
WWW Link. 1908
BibRef

Leyva, R.[Roberto], Sanchez, V.[Victor], Li, C.T.[Chang-Tsun],
Compact and Low-Complexity Binary Feature Descriptor and Fisher Vectors for Video Analytics,
IP(28), No. 12, December 2019, pp. 6169-6184.
IEEE DOI 1909
Feature extraction, Trajectory, Task analysis, Optical imaging, Encoding, Image coding, Computational complexity, Binary features, CNN BibRef

Sadeghi, B.[Bahman], Jamshidi, K.[Kamal], Vafaei, A.[Abbas], Monadjemi, S.A.[S. Amirhassan],
A local image descriptor based on radial and angular gradient intensity histogram for blurred image matching,
VC(35), No. 10, October 2018, pp. 1373-1391.
Springer DOI 1909
BibRef

Zhang, D.B.[Dong-Bo], Yi, L.[Lianglin], Tang, H.Z.[Hong-Zhong], Zhang, Y.[Ying], Xu, H.X.[Hai-Xia],
Multi-scale microstructure binary pattern extraction and learning for image representation,
IET-IPR(13), No. 13, November 2019, pp. 2507-2515.
DOI Link 1911
BibRef

An, F.P.[Feng-Ping], Liu, Z.W.[Zhi-Wen],
Image Processing Algorithm Based on Bi-dimensional Local Mean Decomposition,
JMIV(61), No. 9, November 2019, pp. 1243-1257.
Springer DOI 1911
Image decomposition. BibRef

Xompero, A.[Alessio], Lanz, O.[Oswald], Cavallaro, A.[Andrea],
A Spatio-Temporal Multi-Scale Binary Descriptor,
IP(29), 2020, pp. 4362-4375.
IEEE DOI 2002
BibRef
Earlier:
MORB: A Multi-Scale Binary Descriptor,
ICIP18(2167-2171)
IEEE DOI 1809
Binary descriptor, spatio-temporal feature, multi-scale. Feature extraction, Detectors, Latches, Hamming distance, Robustness, Transforms, Life estimation, Local features, Feature matching, MORB BibRef

Hammouda, G.[Ghassen], Sellami, D.[Dorra], Hammouda, A.[Atef],
Pattern recognition based on compound complex shape-invariant Radon transform,
VC(36), No. 2, February 2020, pp. 279-290.
WWW Link. 2002
BibRef

Ye, J.M.[Jian-Ming], Zhang, S.L.[Shi-Liang], Huang, T.J.[Tie-Jun], Rui, Y.[Yong],
CDbin: Compact Discriminative Binary Descriptor Learned With Efficient Neural Network,
CirSysVideo(30), No. 3, March 2020, pp. 862-874.
IEEE DOI 2003
Learn descriptors (local features) for matching. Feature extraction, Binary codes, Training, Quantization (signal), Neural networks, Task analysis, Correlation, Image patch matching, convolutional neural networks BibRef

Suárez, I.[Iago], Sfeir, G.[Ghesn], Buenaposada, J.M.[José M.], Baumela, L.[Luis],
BEBLID: Boosted efficient binary local image descriptor,
PRL(133), 2020, pp. 366-372.
Elsevier DOI 2005
BibRef
Earlier:
BELID: Boosted Efficient Local Image Descriptor,
IbPRIA19(I:449-460).
Springer DOI 1910
Local image descriptors, Binary descriptors, Real-time, Efficient matching, Boosting BibRef

Wu, G.S.[Geng-Shen], Lin, Z.J.[Zi-Jia], Ding, G.G.[Gui-Guang], Ni, Q.A.[Qi-Ang], Han, J.G.[Jun-Gong],
On Aggregation of Unsupervised Deep Binary Descriptor With Weak Bits,
IP(29), 2020, pp. 9266-9278.
IEEE DOI 2010
Unsupervised Deep Binary Descriptor (UDBD). Hamming distance, Binary codes, Task analysis, Visualization, Manifolds, Robustness, Databases, Image hashing, feature matching, deep learning BibRef

Migliorati, A.[Andrea], Fiandrotti, A.[Attilio], Francini, G.[Gianluca], Leonardi, R.[Riccardo],
Learnable Descriptors for Visual Search,
IP(30), 2021, pp. 80-91.
IEEE DOI 2011
Image coding, Standards, Transform coding, Image matching, Pipelines, Bit rate, Pair-wise image matching, patch matching, fully convolutional neural networks BibRef

Xiao, X., Chen, Y., Gong, Y.J., Zhou, Y.,
Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction,
IP(30), 2021, pp. 108-120.
IEEE DOI 2011
Feature extraction, Tensors, Data models, Correlation, Data structures, Training, Principal component analysis, tensor-product (t-product) BibRef

Li, Z.[Zhen], Zhao, B.J.[Bao-Jun], Wang, W.Z.[Wen-Zheng],
An Efficient Spectral Feature Extraction Framework for Hyperspectral Images,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Ghahremani, M., Liu, Y., Tiddeman, B.,
FFD: Fast Feature Detector,
IP(30), 2021, pp. 1153-1168.
IEEE DOI 2012
Feature extraction, Detectors, Reliability, Dogs, Kernel, Image edge detection, Feature detection, Feature detection, robustness BibRef

Bhattacharjee, D.[Debotosh], Roy, H.[Hiranmoy],
Pattern of Local Gravitational Force (PLGF): A Novel Local Image Descriptor,
PAMI(43), No. 2, February 2021, pp. 595-607.
IEEE DOI 2101
Gravity, Face recognition, Histograms, Feature extraction, Image edge detection, Lighting, Image retrieval, image descriptor BibRef

Sun, T.F.[Tong-Feng], Shao, C.L.[Chang-Long], Liao, H.M.[Hong-Mei], Ding, S.F.[Shi-Fei], Xu, X.Z.[Xin-Zheng],
Research on adaptive local feature enhancement in convolutional neural networks,
IET-IPR(14), No. 16, 19 December 2020, pp. 4306-4315.
DOI Link 2103
BibRef

Kim, T.W.[Tae-Woo],
Feature Detection Based on Significancy of Local Features for Image Matching,
IEICE(E104-D), No. 9, September 2021, pp. 1510-1513.
WWW Link. 2109
BibRef

Feng, Q.P.[Qin-Ping], Tao, S.P.[Shu-Ping], Liu, C.Y.[Chun-Yy], Qu, H.S.[Hong-Song], Xu, W.[Wei],
IFRAD: A Fast Feature Descriptor for Remote Sensing Images,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Evenden, E.[Emily], Jr, R.G.P.[Robert Gilmore Pontius],
Encoding a Categorical Independent Variable for Input to TerrSet's Multi-Layer Perceptron,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
how to code categorical variables for use in learning. BibRef

Chen, L.[Lulu], Zhao, Y.Q.[Yong-Qiang], Chan, J.C.W.[Jonathan Cheung-Wai], Kong, S.G.[Seong G.],
Histograms of oriented mosaic gradients for snapshot spectral image description,
PandRS(183), 2022, pp. 79-93.
Elsevier DOI 2201
Snapshot spectral imaging, Mosaic spatial-spectral gradient operators, Object tracking BibRef

Liu, K.[Kang], Huang, J.[Ju], Li, X.L.[Xue-Long],
Eagle-Eye-Inspired Attention for Object Detection in Remote Sensing,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
Foveal analysis. BibRef

Wang, Y.[Yun], Li, Z.B.[Zhen-Bo], Li, F.[Fei], Mi, Y.[Yang], Yue, J.[Jun],
Fuzzy Discriminative Block Representation Learning for Image Feature Extraction,
IP(31), 2022, pp. 4994-5008.
IEEE DOI 2208
Sparse matrices, Feature extraction, Task analysis, Representation learning, Optimization, Data models, Data mining, discriminative information preservation BibRef

Luo, H.H.[Hai-Han], Liu, K.[Kai], Jiang, S.[San], Li, Q.Q.[Qing-Quan], Wang, L.Z.[Li-Zhe], Jiang, W.S.[Wan-Shou],
CAISOV: Collinear Affine Invariance and Scale-Orientation Voting for Reliable Feature Matching,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Ben Baruch, E.[Elad], Keller, Y.[Yosi],
Joint Detection and Matching of Feature Points in Multimodal Images,
PAMI(44), No. 10, October 2022, pp. 6585-6593.
IEEE DOI 2209
Feature extraction, Detectors, Computer architecture, Measurement, Image sensors, Image edge detection, Training, Deep learning, feature points detection BibRef

Su, J.[Jie], Lu, S.H.[Shu-Han], Li, L.[Lin],
A dual quantum image feature extraction method: PSQIFE,
IET-IPR(16), No. 13, 2022, pp. 3529-3543.
DOI Link 2210
BibRef

Xing, C.D.[Chang-Da], Duan, C.W.[Chao-Wei], Wang, Z.S.[Zhi-Sheng], Wang, M.L.[Mei-Ling],
Binary feature learning with local spectral context-aware attention for classification of hyperspectral images,
PR(134), 2023, pp. 109123.
Elsevier DOI 2212
Classification of hyperspectral images, Local spectrum modules, Spectral context-awareness, Binary feature learning BibRef

Wang, C.W.[Chang-Wei], Xu, R.T.[Rong-Tao], Lu, K.[Ke], Xu, S.B.[Shi-Biao], Meng, W.L.[Wei-Liang], Zhang, Y.Y.[Yu-Yang], Fan, B.[Bin], Zhang, X.P.[Xiao-Peng],
Attention Weighted Local Descriptors,
PAMI(45), No. 9, September 2023, pp. 10632-10649.
IEEE DOI 2309

WWW Link. BibRef

Chen, H.[Hui], Jiang, J.J.[Jing-Jing], Zheng, N.N.[Nan-Ning],
Learning to Infer Unseen Single-/ Multi-Attribute-Object Compositions With Graph Networks,
PAMI(45), No. 10, October 2023, pp. 12022-12037.
IEEE DOI 2310
BibRef

Yang, Z.L.[Zhan-Long], Yang, L.Z.[Lin-Zhi], Chen, G.[Geng], Yap, P.T.[Pew-Thian],
Improved polar complex exponential transform for robust local image description,
PR(143), 2023, pp. 109786.
Elsevier DOI 2310
Image description, Local image descriptor, Polar complex exponential transform, Phase information BibRef

Wang, C.W.[Chang-Wei], Xu, R.T.[Rong-Tao], Xu, S.B.[Shi-Biao], Meng, W.L.[Wei-Liang], Zhang, X.P.[Xiao-Peng],
CNDesc: Cross Normalization for Local Descriptors Learning,
MultMed(25), 2023, pp. 3989-4001.
IEEE DOI Code:
WWW Link. 2310
BibRef


Wang, Z.[Zihao], Wu, C.X.[Chun-Xu], Yang, Y.F.[Yi-Fei], Li, Z.[Zhen],
Learning Transformation-Predictive Representations for Detection and Description of Local Features,
CVPR23(11464-11473)
IEEE DOI 2309
BibRef

Attaiki, S.[Souhaib], Li, L.[Lei], Ovsjanikov, M.[Maks],
Generalizable Local Feature Pre-training for Deformable Shape Analysis,
CVPR23(13650-13661)
IEEE DOI 2309
BibRef

Santellani, E.[Emanuele], Sormann, C.[Christian], Rossi, M.[Mattia], Kuhn, A.[Andreas], Fraundorfer, F.[Friedrich],
MD-Net: Multi-Detector for Local Feature Extraction,
ICPR22(3944-3951)
IEEE DOI 2212
Pipelines, Nearest neighbor methods, Feature extraction, Task analysis BibRef

Ibrahim, M.R.[Mohamed R.], Lyons, T.[Terry],
ImageSig: A signature transform for ultra-lightweight image recognition,
EVW22(3648-3658)
IEEE DOI 2210
Image edge detection, Memory management, Transforms, Detectors, Streaming media, Feature extraction, Hardware BibRef

Cohen, M.J.[Matan Jacob], Avidan, S.[Shai],
Transformaly: Two (Feature Spaces) Are Better Than One,
L3D-IVU22(4059-4068)
IEEE DOI 2210
Training, Visualization, Pipelines, Computer architecture, Feature extraction BibRef

Xie, Y.Y.[Yu-Yang], Wen, J.H.[Jian-Hong], Lau, K.W.[Kin Wai], Rehman, Y.A.U.[Yasar Abbas Ur], Shen, J.J.[Jia-Jun],
What Should Be Equivariant In Self-Supervised Learning,
L3D-IVU22(4110-4119)
IEEE DOI 2210
Conferences, Self-supervised learning, Cells (biology), Feature extraction, Distortion, Birds BibRef

Revaud, J.[Jérome], Leroy, V.[Vincent], Weinzaepfel, P.[Philippe], Chidlovskii, B.[Boris],
PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors,
CVPR22(3916-3926)
IEEE DOI 2210
Location awareness, Training, Visualization, Image matching, Pipelines, Training data, Pattern recognition, Self- semi- meta- unsupervised learning BibRef

Metwaly, K.[Kareem], Kim, A.[Aerin], Branson, E.[Elliot], Monga, V.[Vishal],
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction,
CVPR22(4825-4836)
IEEE DOI 2210
Training, Shape, Convolution, Taxonomy, Computer architecture, Predictive models, Recognition: detection, categorization, Self- semi- meta- unsupervised learning BibRef

Li, K.H.[Kun-Hong], Wang, L.G.[Long-Guang], Liu, L.[Li], Ran, Q.[Qing], Xu, K.[Kai], Guo, Y.L.[Yu-Lan],
Decoupling Makes Weakly Supervised Local Feature Better,
CVPR22(15817-15827)
IEEE DOI 2210
Training, Representation learning, Pipelines, Supervised learning, Cameras, Search problems, 3D from multi-view and sensors, Self- semi- meta- unsupervised learning BibRef

Zhi, S.F.[Shuai-Feng], Laidlow, T.[Tristan], Leutenegger, S.[Stefan], Davison, A.J.[Andrew J.],
In-Place Scene Labelling and Understanding with Implicit Scene Representation,
ICCV21(15818-15827)
IEEE DOI 2203
Geometry, Visualization, Interpolation, Shape, Semantics, Superresolution, Noise reduction, 3D from multiview and other sensors BibRef

Assran, M.[Mahmoud], Caron, M.[Mathilde], Misra, I.[Ishan], Bojanowski, P.[Piotr], Joulin, A.[Armand], Ballas, N.[Nicolas], Rabbat, M.[Michael],
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples,
ICCV21(8423-8432)
IEEE DOI 2203
Training, Visualization, Computer architecture, Semisupervised learning, Representation learning BibRef

Wang, B.[Bing], Chen, C.[Changhao], Cui, Z.P.[Zhao-Peng], Qin, J.[Jie], Lu, C.X.X.[Chris Xiao-Xuan], Yu, Z.[Zhengdi], Zhao, P.J.[Pei-Jun], Dong, Z.[Zhen], Zhu, F.[Fan], Trigoni, N.[Niki], Markham, A.[Andrew],
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching,
ICCV21(15984-15993)
IEEE DOI 2203
Point cloud compression, Location awareness, Visualization, Codes, Image matching, Vision for robotics and autonomous vehicles, Vision applications and systems BibRef

Usilin, S.A.[Sergey A.], Slavin, O.A.[Oleg A.], Arlazarov, V.V.[Vladimir V.],
Memory Consumption and Computation Efficiency Improvements of Viola-Jones Object Detection Method for UAVS,
IMTA20(243-252).
Springer DOI 2103

See also Robust Real-Time Face Detection. BibRef

Wang, Q.N.[Qian-Nan], Zhou, Y.[Ying], Zhu, Z.Y.[Zhao-Yan], Liang, X.F.[Xue-Feng], Gu, Y.[Yu],
Jointly Discriminating and Frequent Visual Representation Mining,
ACCV20(III:356-371).
Springer DOI 2103
BibRef

Tolias, G.[Giorgos], Jenicek, T.[Tomas], Chum, O.[Ondrej],
Learning and Aggregating Deep Local Descriptors for Instance-Level Recognition,
ECCV20(I:460-477).
Springer DOI 2011
BibRef

Pautrat, R.[Rémi], Larsson, V.[Viktor], Oswald, M.R.[Martin R.], Pollefeys, M.[Marc],
Online Invariance Selection for Local Feature Descriptors,
ECCV20(II:707-724).
Springer DOI 2011
BibRef

Sun, Y.F.[Yi-Fan], Cheng, C.M.[Chang-Mao], Zhang, Y.H.[Yu-Han], Zhang, C.[Chi], Zheng, L.[Liang], Wang, Z.D.[Zhong-Dao], Wei, Y.C.[Yi-Chen],
Circle Loss: A Unified Perspective of Pair Similarity Optimization,
CVPR20(6397-6406)
IEEE DOI 2008
Optimization, Convergence, Training, Task analysis, Face recognition, Image retrieval, Measurement BibRef

Jenni, S., Jin, H.L., Favaro, P.,
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics,
CVPR20(6407-6416)
IEEE DOI 2008
Training, Task analysis, Supervised learning, Image representation, Feature extraction, Image recognition, Shape BibRef

Bai, X., Luo, Z., Zhou, L., Fu, H., Quan, L., Tai, C.,
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features,
CVPR20(6358-6366)
IEEE DOI 2008
Feature extraction, Detectors, Convolution, Kernel, Training BibRef

Shen, Y.T.[Yan-Tao], Xiong, Y.J.[Yuan-Jun], Xia, W.[Wei], Soatto, S.[Stefano],
Towards Backward-Compatible Representation Learning,
CVPR20(6367-6376)
IEEE DOI 2008
Training, Visualization, Task analysis, Feature extraction, Computational modeling, Measurement, Computer architecture BibRef

Bhowmik, A., Gumhold, S., Rother, C., Brachmann, E.,
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task,
CVPR20(4947-4956)
IEEE DOI 2008
Feature extraction, Task analysis, Training, Pipelines, Detectors, Probabilistic logic, Neural networks BibRef

Chen, K.X.[Kai-Xuan], Wu, X.J.[Xiao-Jun], Ren, J.Y.[Jie-Yi], Wang, R.[Rui], Kittler, J.V.[Josef V.],
More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation,
CEFRL19(2923-2932)
IEEE DOI 2004
covariance analysis, covariance matrices, image classification, image coding, image representation, Log Euclidean framework BibRef

Zhang, L., Rusinkiewicz, S.,
Learning Local Descriptors With a CDF-Based Dynamic Soft Margin,
ICCV19(2969-2978)
IEEE DOI 2004
learning (artificial intelligence), hard margin, nonparametric soft margin, binary local feature descriptors, Probability density function BibRef

Yu, X.[Xin], Tian, Y.R.[Yu-Run], Porikli, F.M.[Fatih M.], Hartley, R.I.[Richard I.], Li, H.D.[Hong-Dong], Heijnen, H.[Huub], Balntas, V.[Vassileios],
Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking Loss,
CEFRL19(2893-2902)
IEEE DOI 2004
convolutional neural nets, feature extraction, learning (artificial intelligence), transforms, local features BibRef

Spencer, J.[Jaime], Bowden, R.[Richard], Hadfield, S.[Simon],
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation,
CVPR19(6193-6202).
IEEE DOI 2002
Features that include spatial context. BibRef

Jamioy, C.J.[Carlos Jacanamejoy], Meneses-Casas, N.[Nohora], Forero, M.G.[Manuel G.],
Image Feature Detection Based on Phase Congruency by Monogenic Filters with New Noise Estimation,
IbPRIA19(I:577-588).
Springer DOI 1910
BibRef

Doiphode, N.[Nehal], Mitra, R.[Rahul], Ahmed, S.[Shuaib], Jain, A.[Arjun],
An Improved Learning Framework for Covariant Local Feature Detection,
ACCV18(VI:262-276).
Springer DOI 1906
BibRef

Xu, Y.[Yanwu], Gong, M.M.[Ming-Ming], Liu, T.[Tongliang], Batmanghelich, K.[Kayhan], Wang, C.[Chaohui],
Robust Angular Local Descriptor Learning,
ACCV18(V:420-435).
Springer DOI 1906
BibRef

Koçanaogullari, A.[Aziz], Ataer-Cansizoglu, E.[Esra],
Active Descriptor Learning for Feature Matching,
CEFR-LCV18(IV:619-630).
Springer DOI 1905
BibRef

He, K.[Kun], Lu, Y.[Yan], Sclaroff, S.[Stan],
Local Descriptors Optimized for Average Precision,
CVPR18(596-605)
IEEE DOI 1812
Pipelines, Task analysis, Measurement, Feature extraction, Optimization, Histograms, Neural networks BibRef

van Opdenbosch, D.[Dominik], Steinbach, E.[Eckehard],
Flexible Rate Allocation for Local Binary Feature Compression,
ICIP18(3259-3263)
IEEE DOI 1809
Visualization, Encoding, Feature extraction, Task analysis, Vocabulary, Entropy, Visual features, Bag-of-Words, ATC BibRef

Mohtaram, N., Radgui, A., Caron, G., Mouaddib, E.M.,
AMIFT: Affine-Mirror Invariant Feature Transform,
ICIP18(893-897)
IEEE DOI 1809
Mirrors, Cameras, Geometry, Transmission line matrix methods, Transforms, SIFT, reflection invariant feature BibRef

Martins, V.[Valdomiro], Ribeiro, T.P.[Thiago P.], 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], Yu, C.[Carolyn], Wu, Y.C.[Yi-Chieh],
Construction and Optimization of Feature Descriptor Based on Dynamic Local Intensity Order Relations of Pixel Group,
ICIAR19(I:364-375).
Springer DOI 1909
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

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], Ur Rehman, N.[Naveed], 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., Ur Rehman, N.[Naveed], 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:Nov 30, 2023 at 15:51:27