7.1.10 Interest Operators, Interest Points, Feature Points, Salient Points

Chapter Contents (Back)
Interest Points. Salient Points. Feature Points. Interest. For arbitrary subsets of interest points:
See also Keypoint Detection.
See also Scale Invariant Features, SIFT, SURF, ASIFT.
See also Corner Feature Detection Techniques and Use. Regions:
See also Region of Interest Detection, ROI.

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Yu, L.L.[Ling-Li], Xia, X.[Xumei], Zhou, K.J.[Kia-Jun], Zhao, L.J.[Li-Jun],
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Polar Transformation on Image Features for Orientation-Invariant Representations,
MultMed(21), No. 2, February 2019, pp. 300-313.
IEEE DOI 1902
Task analysis, Visualization, Feature extraction, Robustness, Convolution, Histograms, Image representation, CNN BibRef

Zhang, Z.B.[Zhao-Bin], Li, L.[Li], Li, Z.[Zhu], Li, H.Q.[Hou-Qiang],
Mobile Visual Search Compression With Grassmann Manifold Embedding,
CirSysVideo(29), No. 11, November 2019, pp. 3356-3366.
IEEE DOI 1911
BibRef
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Visual query compression with locality preserving projection on Grassmann manifold,
ICIP17(3026-3030)
IEEE DOI 1803
Transforms, Visualization, Manifolds, Training, Image coding, Feature extraction, Measurement, Mobile visual search, compact descriptors. Binary trees, Bit rate, Indexing, Manifolds, Principal component analysis, Transforms, Visualization, Visual query. BibRef

Azimi, E.[Ehsan], Behrad, A.[Alireza], Ghaznavi-Ghoushchi, M.B.[Mohammad Bagher], Shanbehzadeh, J.[Jamshid],
A fully pipelined and parallel hardware architecture for real-time BRISK salient point extraction,
RealTimeIP(16), No. 5, October 2019, pp. 1859-1879.
Springer DOI 1911
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Mukundan, A.[Arun], Tolias, G.[Giorgos], Bursuc, A.[Andrei], Jégou, H.[Hervé], Chum, O.[Ondrej],
Understanding and Improving Kernel Local Descriptors,
IJCV(127), No. 11-12, December 2019, pp. 1723-1737.
Springer DOI 1911
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Cieslewski, T.[Titus], Derpanis, K.G.[Konstantinos G.], Scaramuzza, D.[Davide],
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning,
3DV19(604-613)
IEEE DOI
PDF File. 1806
Code, Interest Points.
WWW Link. Detectors, Measurement, Training, Feature extraction, Kernel, Interest points, detection BibRef

Cieslewski, T.[Titus], Bloesch, M.[Michael], Scaramuzza, D.[Davide],
Matching Features without Descriptors: Implicitly Matched Interest Points,
BMVC19(xx-yy).
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2D-feature descriptor without orientation compensation,
IJCVR(10), No. 1, 2020, pp. 21-40.
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Niu, D.M.[Dong-Mei], Guo, H.[Han], Zhao, X.Y.[Xiu-Yang], Zhang, C.M.[Cai-Ming],
Three-dimensional salient point detection based on the Laplace-Beltrami eigenfunctions,
VC(36), No. 4, April 2020, pp. 767-784.
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Liu, H.M.[Hong-Min], Zhang, Q.Q.[Qian-Qian], Fan, B.[Bin], Wang, Z.H.[Zhi-Heng], Han, J.W.[Jun-Wei],
Features Combined Binary Descriptor Based on Voted Ring-Sampling Pattern,
CirSysVideo(30), No. 10, October 2020, pp. 3675-3687.
IEEE DOI 2010
Histograms, Feature extraction, Encoding, Task analysis, Fans, Computational efficiency, Memory management, Binary descriptor, voting strategy BibRef

Yan, P.[Pei], Tan, Y.H.[Yi-Hua], Tai, Y.[Yuan], Wu, D.R.[Dong-Rui], Luo, H.B.[Han-Bin], Hao, X.L.[Xiao-Long],
Unsupervised learning framework for interest point detection and description via properties optimization,
PR(112), 2021, pp. 107808.
Elsevier DOI 2102
Interest point, Unsupervised learning, Expectation maximization, Properties, Convolution neural network BibRef

Ghahremani, M.[Morteza], Zhao, Y.T.[Yi-Tian], Tiddeman, B.[Bernard], Liu, Y.H.[Yong-Huai],
Interwoven texture-based description of interest points in images,
PR(113), 2021, pp. 107821.
Elsevier DOI 2103
Interest point, Descriptive signature, Interwoven texture, Locality, Globality, Robustness BibRef

Qi, G.J.[Guo-Jun], Zhang, L.H.[Li-Heng], Lin, F.[Feng], Wang, X.[Xiao],
Learning Generalized Transformation Equivariant Representations Via AutoEncoding Transformations,
PAMI(44), No. 4, April 2022, pp. 2045-2057.
IEEE DOI 2203
Visualization, Training, Decoding, Data models, Mutual information, Image reconstruction, semi-supervised learning BibRef

Qi, G.J.[Guo-Jun], Zhang, L.H.[Li-Heng], Chen, C.W.[Chang Wen], Tian, Q.[Qi],
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations,
ICCV19(8129-8138)
IEEE DOI 2004
convolutional neural nets, image representation, optimisation, unsupervised learning, variational techniques, BibRef

Zhang, J.B.[Jin-Bao], Liu, X.J.[Xiao-Juan], Liao, W.L.[Wei-Lin], Li, X.[Xia],
Deep-learning generation of POI data with scene images,
PandRS(188), 2022, pp. 201-219.
Elsevier DOI 2205
Automatic POI-generation, Deep learning framework, Scene images, Visual-linguistic multimodal model BibRef

Wang, Z.B.[Zheng-Bin], Yu, A.X.[An-Xi], Dong, Z.[Zhen], Zhang, B.[Ben], Chen, X.[Xing],
Performance Evaluation of Interest Point Detectors for Heterologous Image Matching,
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Sun, Y.F.[Yi-Fan], Liu, B.[Bing], Yu, X.C.[Xu-Chu], Yu, A.[Anzhu], Gao, K.L.[Kui-Liang], Ding, L.[Lei],
From Video to Hyperspectral: Hyperspectral Image-Level Feature Extraction with Transfer Learning,
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Jing, J.F.[Jun-Feng], Gao, T.[Tian], Zhang, W.C.[Wei-Chuan], Gao, Y.S.[Yong-Sheng], Sun, C.M.[Chang-Ming],
Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review,
PAMI(45), No. 4, April 2023, pp. 4694-4712.
IEEE DOI 2303
Interest point detection, Feature extraction, Image edge detection, Data mining, Taxonomy, Sun, Detectors, development trend on image feature information extraction BibRef

Zhang, W.C.[Wei-Chuan], Sun, C.M.[Chang-Ming], Gao, Y.S.[Yong-Sheng],
Image Intensity Variation Information for Interest Point Detection,
PAMI(45), No. 8, August 2023, pp. 9883-9894.
IEEE DOI 2307
Image edge detection, Interest point detection, Mathematical models, Detectors, Blob detection, Feature extraction, multiple scales BibRef

Li, Z.Y.[Zhao-Yang], Zhao, X.[Xue], Bao, C.[Chun], Cao, J.[Jie], Li, D.X.[Dong-Xing], Hao, Q.[Qun],
Lightweight feature point detection network with channel enhancement,
CVIU(233), 2023, pp. 103716.
Elsevier DOI 2307

WWW Link. Feature points detection, Channel enhancement, Multi-branch fusion, Efficient inference BibRef

Lin, X.Y.[Xin-Yu], Zhou, Y.J.[Ying-Jie], Liu, Y.P.[Yi-Peng], Zhu, C.[Ce],
Level Line Guided Interest Point Detection,
SPLetters(30), 2023, pp. 863-867.
IEEE DOI 2307
Detectors, Interest point detection, Corner detection, Blob detection, Learning systems, Image edge detection, low-level computer vision BibRef

Xie, C.Y.[Chen-Yang], Liu, Q.[Qiang], Chen, B.J.[Bao-Jia], Hao, Z.Q.[Zhi-Qiang],
Evaluation and analysis of feature point detection methods based on vSLAM systems,
IVC(146), 2024, pp. 105015.
Elsevier DOI 2405
Feature point detection, vSLAM, Complex datasets, Performance evaluation BibRef

Zhang, H.Z.[Heng-Zhi], Yi, H.[Hong], Jia, H.[Haijing], Wang, W.[Wei], Odamaki, M.[Makoto],
PanoPoint: Self-Supervised Feature Points Detection and Description for 360° Panorama,
OmniCV23(6449-6458)
IEEE DOI 2309
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Kanakis, M.[Menelaos], Maurer, S.[Simon], Spallanzani, M.[Matteo], Chhatkuli, A.[Ajad], Van Gool, L.J.[Luc J.],
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization,
IMW23(6114-6123)
IEEE DOI 2309
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Mera-Trujillo, M.[Marcela], Patel, S.[Shivang], Gu, Y.[Yu], Doretto, G.[Gianfranco],
Self-supervised Interest Point Detection and Description for Fisheye and Perspective Images,
OmniCV23(6498-6507)
IEEE DOI 2309
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Wang, C.H.[Chang-Hao], Zhang, G.W.[Guan-Wen], Cheng, Z.Y.[Zheng-Yun], Zhou, W.[Wei],
Rethinking Low-level Features for Interest Point Detection and Description,
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Springer DOI 2307
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Kamikawa, K.[Kyohei], Maeda, K.[Keisuke], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction,
ICIP23(3125-3129)
IEEE DOI 2312
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Maeda, K.[Keisuke], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
Gaussian Distributed Graph Constrained Multi-Modal Gaussian Process Latent Variable Model for Ordinal Labeled Data,
ICIP22(3798-3802)
IEEE DOI 2211
Learning systems, Uncertainty, Laplace equations, Correlation, Distributed databases, Gaussian processes, Gaussian process, latent space BibRef

Kamikawa, K.[Kyohei], Maeda, K.[Keisuke], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization,
ICIP21(1209-1213)
IEEE DOI 2201
Image processing, Estimation, Training data, Gaussian processes, Probabilistic logic, Data models, Interest level estimation, multi-modal features BibRef

Harrigan, S., Coleman, S., Ker, D., Yogarajah, P., Fang, Z., Wu, C.,
ROT-Harris: A Dynamic Approach to Asynchronous Interest Point Detection,
MVA21(1-6)
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Performance evaluation, Visualization, Interest point detection, Detectors, Vision sensors, Feature extraction BibRef

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Interest Points Detection Based on Sign Representations of Digital Images,
IMTA20(234-242).
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The Fractional Harris-Laplace Feature Detector,
SSVM19(3-12).
Springer DOI 1909
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Komorowski, J.[Jacek], Czarnota, K.[Konrad], Trzcinski, T.[Tomasz], Dabala, L.[Lukasz], Lynen, S.[Simon],
Interest Point Detectors Stability Evaluation on ApolloScape Dataset,
ApolloScape18(V:727-739).
Springer DOI 1905
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de Tone, D., Malisiewicz, T., Rabinovich, A.,
SuperPoint: Self-Supervised Interest Point Detection and Description,
DeepSLAM18(337-33712)
IEEE DOI 1812
Detectors, Decoding, Interest point detection, Task analysis, Training, Neural networks BibRef

Huang, C.[Chen], Zhang, S.C.[Sheng-Chuan], Lin, X.M.[Xian-Ming], Liu, X.R.[Xiang-Rong], Ji, R.R.[Rong-Rong],
Deep-based fisher vector for mobile visual search,
ICIP17(3430-3434)
IEEE DOI 1803
Standardized syntax in MPEG for retrieval. Buildings, Indexes, CDVS, Fisher Vector, autoencoder, fisher layer, mobile visual search BibRef

Tian, Y.R.[Yu-Run], Fan, B.[Bin], Wu, F.C.[Fu-Chao],
L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space,
CVPR17(6128-6136)
IEEE DOI 1711
Convolution, Feature extraction, Indexes, Measurement, Training, Training, data Learned features rather than SIFT or others. BibRef

Savinov, N., Seki, A., Ladický, L., Sattler, T., Pollefeys, M.,
Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection,
CVPR17(3929-3937)
IEEE DOI 1711
Detectors, Training, Unsupervised, learning BibRef

Liu, L.[Liu], Qi, H.R.[Hai-Rong],
Discriminative Cross-View Binary Representation Learning,
WACV18(1736-1744)
IEEE DOI 1806
BibRef
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Learning Effective Binary Descriptors via Cross Entropy,
WACV17(1251-1258)
IEEE DOI 1609
Hamming codes, convolution, cryptography, feedforward neural nets, image annotation, image classification, image representation, Training. Binary codes, Entropy, Fasteners, Kernel, Neural networks, Optimization. BibRef

Pagola, M.[Miguel], Forcen, J.I.[Juan I.], Barrenechea, E.[Edurne], Fernández, J.[Javier], Bustince, H.[Humberto],
A Study on the Cardinality of Ordered Average Pooling in Visual Recognition,
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Springer DOI 1706
Spatial pooling: descriptors of neighbors. BibRef

Vigneron, V.[Vincent], Syed, T.Q.[Tahir Q.], Duarte, L.T.[Leonardo T.], Lang, E.[Elmar], Behlim, S.I.[Sadaf I.], Tomé, A.M.[Ana-Maria],
Z-Images,
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Springer DOI 1706
Zeckendorf representation of pixel intensities. BibRef

Nguyen, D.D.[Dai-Duong], El Ouardi, A., Aldea, E., Bouaziz, S.,
HOOFR: An enhanced bio-inspired feature extractor,
ICPR16(2977-2982)
IEEE DOI 1705
Detectors, Feature extraction, Image coding, Kernel, Retina, Smoothing methods, Transmission line matrix methods, FREAK, Feature matching, Hessian matrix, ORB, SIFT, SURF BibRef