{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:28:36Z","timestamp":1774880916418,"version":"3.50.1"},"reference-count":125,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,10,31]],"date-time":"2020-10-31T00:00:00Z","timestamp":1604102400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,10,31]],"date-time":"2020-10-31T00:00:00Z","timestamp":1604102400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Multimed Info Retr"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s13735-020-00200-3","type":"journal-article","created":{"date-parts":[[2020,10,31]],"date-time":"2020-10-31T19:02:42Z","timestamp":1604170962000},"page":"231-247","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Recent advances in local feature detector and descriptor: a literature survey"],"prefix":"10.1007","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5860-2694","authenticated-orcid":false,"given":"Khushbu","family":"Joshi","sequence":"first","affiliation":[]},{"given":"Manish I.","family":"Patel","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,31]]},"reference":[{"key":"200_CR1","doi-asserted-by":"crossref","unstructured":"Abdel-Hakim AE, Farag AA (2006) Csift: A sift descriptor with color invariant characteristics. In: 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR\u201906), vol.\u00a02, pp. 1978\u20131983. Ieee","DOI":"10.1109\/CVPR.2006.95"},{"key":"200_CR2","doi-asserted-by":"crossref","unstructured":"Alahi A, Ortiz R, Vandergheynst P (2012) Freak: Fast retina keypoint. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 510\u2013517. Ieee","DOI":"10.1109\/CVPR.2012.6247715"},{"key":"200_CR3","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/TPAMI.1986.4767747","volume":"1","author":"H Asada","year":"1986","unstructured":"Asada H, Brady M (1986) The curvature primal sketch. IEEE Trans Pattern Anal Mach Intell 1:2\u201314","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"200_CR4","volume-title":"Modern information retrieval","author":"R Baeza-Yates","year":"1999","unstructured":"Baeza-Yates R, Ribeiro-Neto B et al (1999) Modern information retrieval, vol 463. ACM press, New York"},{"key":"200_CR5","doi-asserted-by":"crossref","unstructured":"Basu S, Ganguly S, Mukhopadhyay S, DiBiano R, Karki M, Nemani R (2015) Deepsat: a learning framework for satellite imagery. In: Proceedings of the 23rd SIGSPATIAL international conference on advances in geographic information systems, pp. 1\u201310","DOI":"10.1145\/2820783.2820816"},{"issue":"3","key":"200_CR6","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.cviu.2007.09.014","volume":"110","author":"H Bay","year":"2008","unstructured":"Bay H, Ess A, Tuytelaars T, Van Gool L (2008) Speeded-up robust features (surf). Comput Vis Image Underst 110(3):346\u2013359","journal-title":"Comput Vis Image Underst"},{"key":"200_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.dsp.2015.06.001","volume":"44","author":"S Bianco","year":"2015","unstructured":"Bianco S, Mazzini D, Pau DP, Schettini R (2015) Local detectors and compact descriptors for visual search: a quantitative comparison. Digit Signal Process 44:1\u201313","journal-title":"Digit Signal Process"},{"issue":"2","key":"200_CR8","first-page":"338","volume":"33","author":"H Cai","year":"2010","unstructured":"Cai H, Mikolajczyk K, Matas J (2010) Learning linear discriminant projections for dimensionality reduction of image descriptors. IEEE Trans Pattern Anal Mach Intell 33(2):338\u2013352","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"7","key":"200_CR9","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.1109\/TPAMI.2011.222","volume":"34","author":"M Calonder","year":"2011","unstructured":"Calonder M, Lepetit V, Ozuysal M, Trzcinski T, Strecha C, Fua P (2011) Brief: Computing a local binary descriptor very fast. IEEE Trans Pattern Anal Mach Intell 34(7):1281\u20131298","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"200_CR10","doi-asserted-by":"crossref","unstructured":"Calonder M, Lepetit V, Strecha C, Fua P (2010) Brief: Binary robust independent elementary features. In: European conference on computer vision, pp. 778\u2013792. Springer, Berlin","DOI":"10.1007\/978-3-642-15561-1_56"},{"key":"200_CR11","doi-asserted-by":"crossref","unstructured":"Canclini A, Cesana M, Redondi A, Tagliasacchi M, Ascenso J, Cilla R (2013) Evaluation of low-complexity visual feature detectors and descriptors. In: 2013 18th International Conference on Digital Signal Processing (DSP), pp 1\u20137","DOI":"10.1109\/ICDSP.2013.6622757"},{"key":"200_CR12","doi-asserted-by":"crossref","unstructured":"Chao J, Al-Nuaimi A, Schroth G, Steinbach E (2013) Performance comparison of various feature detector-descriptor combinations for content-based image retrieval with jpeg-encoded query images. In: 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP), pp 029\u2013034","DOI":"10.1109\/MMSP.2013.6659259"},{"issue":"7","key":"200_CR13","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1109\/TBME.2010.2042169","volume":"57","author":"J Chen","year":"2010","unstructured":"Chen J, Tian J, Lee N, Zheng J, Smith RT, Laine AF (2010) A partial intensity invariant feature descriptor for multimodal retinal image registration. IEEE Trans Biomed Eng 57(7):1707\u20131718","journal-title":"IEEE Trans Biomed Eng"},{"issue":"4","key":"200_CR14","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1109\/LGRS.2019.2930462","volume":"17","author":"J Chen","year":"2019","unstructured":"Chen J, Wan L, Zhu J, Xu G, Deng M (2019) Multi-scale spatial and channel-wise attention for improving object detection in remote sensing imagery. IEEE Geosci Remote Sensing Lett 17(4):681\u201368","journal-title":"IEEE Geosci Remote Sensing Lett"},{"key":"200_CR15","doi-asserted-by":"crossref","unstructured":"Cheung W, Hamarneh G (2007) N-sift: N-dimensional scale invariant feature transform for matching medical images. In: 2007 4th IEEE international symposium on biomedical imaging: from nano to macro, pp 720\u2013723. IEEE","DOI":"10.1109\/ISBI.2007.356953"},{"key":"200_CR16","unstructured":"University of Maryland at College Park. Computer Science\u00a0Center Rutkowski W, Rosenfeld A (1978) A comparison of corner detection techniques for chain-coded curves"},{"key":"200_CR17","doi-asserted-by":"crossref","unstructured":"Dahl AL, Aan\u00e6s H, Pedersen KS (2011) Finding the best feature detector-descriptor combination. In: 2011 international conference on 3d imaging, modeling, processing, visualization and transmission, pp. 318\u2013325. IEEE","DOI":"10.1109\/3DIMPVT.2011.47"},{"key":"200_CR18","doi-asserted-by":"crossref","unstructured":"Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L (2009) Imagenet: A large-scale hierarchical image database. In: 2009 IEEE conference on computer vision and pattern recognition, pp. 248\u2013255. IEEE","DOI":"10.1109\/CVPR.2009.5206848"},{"issue":"2","key":"200_CR19","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/BF01420733","volume":"10","author":"R Deriche","year":"1993","unstructured":"Deriche R, Giraudon G (1993) A computational approach for corner and vertex detection. Int J Comput Vis 10(2):101\u2013124","journal-title":"Int J Comput Vis"},{"key":"200_CR20","doi-asserted-by":"crossref","unstructured":"DeTone D, Malisiewicz T, Rabinovich A (2018) Superpoint: Self-supervised interest point detection and description. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp. 224\u2013236","DOI":"10.1109\/CVPRW.2018.00060"},{"issue":"2","key":"200_CR21","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1007\/s11263-010-0340-z","volume":"94","author":"T Dickscheid","year":"2011","unstructured":"Dickscheid T, Schindler F, F\u00f6rstner W (2011) Coding images with local features. Int J Comput Vis 94(2):154\u2013174","journal-title":"Int J Comput Vis"},{"key":"200_CR22","doi-asserted-by":"crossref","unstructured":"Dong J, Soatto S (2015) Domain-size pooling in local descriptors: Dsp-sift. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 5097\u20135106","DOI":"10.1109\/CVPR.2015.7299145"},{"key":"200_CR23","unstructured":"Fei-Fei L, Fergus R, Perona P (2004) Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories. In: 2004 conference on computer vision and pattern recognition workshop, pp. 178-178. IEEE"},{"key":"200_CR24","unstructured":"Filipe S, Alexandre LA (2014) A comparative evaluation of 3d keypoint detectors in a rgb-d object dataset. In: 2014 international conference on computer vision theory and applications (VISAPP), vol.\u00a01, pp. 476\u2013483"},{"key":"200_CR25","doi-asserted-by":"crossref","unstructured":"Fu X, McCane B, Mills S, Albert M (2014) Nokmeans: Non-orthogonal k-means hashing. In: Asian conference on computer vision, pp. 162\u2013177. Springer, Berlin","DOI":"10.1007\/978-3-319-16865-4_11"},{"issue":"1","key":"200_CR26","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1109\/LGRS.2018.2867635","volume":"16","author":"Z Fu","year":"2018","unstructured":"Fu Z, Qin Q, Luo B, Wu C, Sun H (2018) A local feature descriptor based on combination of structure and texture information for multispectral image matching. IEEE Geosci Remote Sensing Lett 16(1):100\u2013104","journal-title":"IEEE Geosci Remote Sensing Lett"},{"issue":"3","key":"200_CR27","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/s11263-011-0431-5","volume":"94","author":"S Gauglitz","year":"2011","unstructured":"Gauglitz S, H\u00f6llerer T, Turk M (2011) Evaluation of interest point detectors and feature descriptors for visual tracking. Int J Comput Vis 94(3):335","journal-title":"Int J Comput Vis"},{"key":"200_CR28","doi-asserted-by":"crossref","unstructured":"Georgiou T, Liu Y, Chen W, Lew M (2019) A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision. Int J Multimed Inf Retr pp. 1\u201336","DOI":"10.1007\/s13735-019-00183-w"},{"issue":"1","key":"200_CR29","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1023\/B:VISI.0000042993.50813.60","volume":"61","author":"JM Geusebroek","year":"2005","unstructured":"Geusebroek JM, Burghouts GJ, Smeulders AW (2005) The amsterdam library of object images. Int J Comput Vis 61(1):103\u2013112","journal-title":"Int J Comput Vis"},{"key":"200_CR30","doi-asserted-by":"crossref","unstructured":"Ghosal S, Mehrotra R (1994) Zernike moment-based feature detectors. In: Proceedings of 1st international conference on image processing, vol.\u00a01, pp. 934\u2013938. IEEE","DOI":"10.1109\/ICIP.1994.413246"},{"issue":"6","key":"200_CR31","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1007\/s00138-009-0195-x","volume":"21","author":"A Gil","year":"2010","unstructured":"Gil A, Mozos OM, Ballesta M, Reinoso O (2010) A comparative evaluation of interest point detectors and local descriptors for visual slam. Mach Vis Appl 21(6):905\u2013920","journal-title":"Mach Vis Appl"},{"issue":"12","key":"200_CR32","doi-asserted-by":"crossref","first-page":"2916","DOI":"10.1109\/TPAMI.2012.193","volume":"35","author":"Y Gong","year":"2012","unstructured":"Gong Y, Lazebnik S, Gordo A, Perronnin F (2012) Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval. IEEE Trans Pattern Anal Mach Intell 35(12):2916\u20132929","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"200_CR33","unstructured":"Griffin G, Holub A, Perona P (2007) Caltech-256 object category dataset"},{"key":"200_CR34","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.patcog.2017.10.013","volume":"77","author":"J Gu","year":"2018","unstructured":"Gu J, Wang Z, Kuen J, Ma L, Shahroudy A, Shuai B, Liu T, Wang X, Wang G, Cai J et al (2018) Recent advances in convolutional neural networks. Pattern Recogn 77:354\u2013377","journal-title":"Pattern Recogn"},{"key":"200_CR35","doi-asserted-by":"crossref","unstructured":"Haja A, Abraham S, J\u00e4hne B (2008) A comparison of region detectors for tracking. In: Joint pattern recognition symposium, pp. 112\u2013121. Springer, Berlin","DOI":"10.1007\/978-3-540-69321-5_12"},{"key":"200_CR36","doi-asserted-by":"crossref","unstructured":"Harris CG, Stephens M et\u00a0al. (1988) A combined corner and edge detector. In: Alvey vision conference, vol.\u00a015, pp. 10\u20135244. Citeseer","DOI":"10.5244\/C.2.23"},{"key":"200_CR37","doi-asserted-by":"crossref","unstructured":"Hartmann W, Havlena M, Schindler K (2014) Predicting matchability. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 9\u201316","DOI":"10.1109\/CVPR.2014.9"},{"key":"200_CR38","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/978-3-319-28854-3_2","volume":"630","author":"M Hassaballah","year":"2016","unstructured":"Hassaballah M, Amin A, Hammam A (2016) Image feature detectors and descriptors: foundations and applications. Stud Comput Intell 630:11\u201345","journal-title":"Stud Comput Intell"},{"key":"200_CR39","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"200_CR40","doi-asserted-by":"crossref","unstructured":"Heinly J, Dunn E, Frahm JM (2012) Comparative evaluation of binary features. In: European conference on computer vision, pp. 759\u2013773. Springer, Berlin","DOI":"10.1007\/978-3-642-33709-3_54"},{"issue":"7","key":"200_CR41","doi-asserted-by":"crossref","first-page":"2217","DOI":"10.1109\/JSTARS.2019.2918242","volume":"12","author":"P Helber","year":"2019","unstructured":"Helber P, Bischke B, Dengel A, Borth D (2019) Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification. IEEE J Sel Top Appl Earth Obs Remote Sens 12(7):2217\u20132226","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"key":"200_CR42","doi-asserted-by":"crossref","unstructured":"Ishii T, Simo-Serra E, Iizuka S, Mochizuki Y, Sugimoto A, Ishikawa H, Nakamura R (2016) Detection by classification of buildings in multispectral satellite imagery. In: 2016 23rd international conference on pattern recognition (ICPR), pp. 3344\u20133349. IEEE","DOI":"10.1109\/ICPR.2016.7900150"},{"key":"200_CR43","doi-asserted-by":"crossref","unstructured":"Jarrett K, Kavukcuoglu K, Ranzato M, LeCun Y (2009) What is the best multi-stage architecture for object recognition? In: 2009 IEEE 12th international conference on computer vision, pp. 2146\u20132153. IEEE","DOI":"10.1109\/ICCV.2009.5459469"},{"key":"200_CR44","doi-asserted-by":"crossref","unstructured":"J\u00e9gou H, Douze M, Schmid C, P\u00e9rez P (2010) Aggregating local descriptors into a compact image representation. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp. 3304\u20133311. IEEE","DOI":"10.1109\/CVPR.2010.5540039"},{"key":"200_CR45","doi-asserted-by":"crossref","first-page":"20607","DOI":"10.1109\/ACCESS.2019.2896128","volume":"7","author":"J Jiang","year":"2019","unstructured":"Jiang J, Liu F, Xu Y, Huang H et al (2019) Multi-spectral rgb-nir image classification using double-channel cnn. IEEE Access 7:20607\u201320613","journal-title":"IEEE Access"},{"key":"200_CR46","doi-asserted-by":"crossref","unstructured":"Kaneva B, Torralba A, Freeman WT (2011) Evaluation of image features using a photorealistic virtual world. In: 2011 International conference on computer vision, pp. 2282\u20132289. IEEE","DOI":"10.1109\/ICCV.2011.6126508"},{"key":"200_CR47","unstructured":"Kangas V, et\u00a0al. (2011) Comparison of local feature detectors and descriptors for visual object categorization"},{"key":"200_CR48","unstructured":"Ke Y, Sukthankar R (2004) Pca-sift: A more distinctive representation for local image descriptors. In: Proceedings of the 2004 IEEE computer society conference on computer vision and pattern recognition, 2004. CVPR 2004., vol.\u00a02, pp. II\u2013II. IEEE"},{"key":"200_CR49","unstructured":"Krasin I, Duerig T, Alldrin N, Ferrari V, Abu-El-Haija S, Kuznetsova A, Rom H, Uijlings J, Popov S, Veit A, et\u00a0al. (2017) Openimages: A public dataset for large-scale multi-label and multi-class image classification. 2(3):2\u20133 Dataset available from https:\/\/github.com\/openimages"},{"issue":"3","key":"200_CR50","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1109\/TSMCB.2005.846644","volume":"35","author":"K Krawiec","year":"2005","unstructured":"Krawiec K, Bhanu B (2005) Visual learning by coevolutionary feature synthesis. IEEE Trans Syst Man Cybern Part B (Cybernetics) 35(3):409\u2013425","journal-title":"IEEE Trans Syst Man Cybern Part B (Cybernetics)"},{"key":"200_CR51","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In: Advances in neural information processing systems, pp. 1097\u20131105"},{"key":"200_CR52","doi-asserted-by":"crossref","unstructured":"Kuznetsova A, Rom H, Alldrin N, Uijlings J, Krasin I, Pont-Tuset J, Kamali S, Popov S, Malloci M, Kolesnikov A, Duerig T, Ferrari V (2020) The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale. IJCV","DOI":"10.1007\/s11263-020-01316-z"},{"key":"200_CR53","doi-asserted-by":"crossref","unstructured":"Lazebnik S, Schmid C, Ponce J (2006) Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201906), vol.\u00a02, pp. 2169\u20132178. IEEE","DOI":"10.1109\/CVPR.2006.68"},{"issue":"11","key":"200_CR54","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun Y, Bottou L, Bengio Y, Haffner P (1998) Gradient-based learning applied to document recognition. Proc IEEE 86(11):2278\u20132324","journal-title":"Proc IEEE"},{"key":"200_CR55","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.jvcir.2017.05.008","volume":"47","author":"MH Lee","year":"2017","unstructured":"Lee MH, Park IK (2017) Performance evaluation of local descriptors for maximally stable extremal regions. J Visual Commun Image Represent 47:62\u201372","journal-title":"J Visual Commun Image Represent"},{"key":"200_CR56","doi-asserted-by":"crossref","first-page":"6424","DOI":"10.1109\/ACCESS.2018.2888856","volume":"7","author":"C Leng","year":"2018","unstructured":"Leng C, Zhang H, Li B, Cai G, Pei Z, He L (2018) Local feature descriptor for image matching: A survey. IEEE Access 7:6424\u20136434","journal-title":"IEEE Access"},{"issue":"9","key":"200_CR57","doi-asserted-by":"crossref","first-page":"1465","DOI":"10.1109\/TPAMI.2006.188","volume":"28","author":"V Lepetit","year":"2006","unstructured":"Lepetit V, Fua P (2006) Keypoint recognition using randomized trees. IEEE Trans Pattern Anal Mach Intell 28(9):1465\u20131479","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"200_CR58","doi-asserted-by":"crossref","unstructured":"Leutenegger S, Chli M, Siegwart RY (2011) Brisk: Binary robust invariant scalable keypoints. In: 2011 International conference on computer vision, pp. 2548\u20132555. IEEE","DOI":"10.1109\/ICCV.2011.6126542"},{"key":"200_CR59","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.isprsjprs.2019.11.023","volume":"159","author":"K Li","year":"2020","unstructured":"Li K, Wan G, Cheng G, Meng L, Han J (2020) Object detection in optical remote sensing images: A survey and a new benchmark. ISPRS J Photogramm Remote Sens 159:296\u2013307","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"200_CR60","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1016\/j.ins.2013.12.022","volume":"281","author":"Y Li","year":"2014","unstructured":"Li Y, Liu W, Li X, Huang Q, Li X (2014) Ga-sift: A new scale invariant feature transform for multispectral image using geometric algebra. Inf Sci 281:559\u2013572","journal-title":"Inf Sci"},{"key":"200_CR61","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1016\/j.neucom.2014.08.003","volume":"149","author":"Y Li","year":"2015","unstructured":"Li Y, Wang S, Tian Q, Ding X (2015) A survey of recent advances in visual feature detection. Neurocomputing 149:736\u2013751","journal-title":"Neurocomputing"},{"key":"200_CR62","doi-asserted-by":"crossref","unstructured":"Lin TY, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick CL (2014) Microsoft coco: Common objects in context. In: European conference on computer vision, pp. 740\u2013755. Springer, Berlin","DOI":"10.1007\/978-3-319-10602-1_48"},{"issue":"2","key":"200_CR63","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/s11263-019-01247-4","volume":"128","author":"L Liu","year":"2020","unstructured":"Liu L, Ouyang W, Wang X, Fieguth P, Chen J, Liu X, Pietik\u00e4inen M (2020) Deep learning for generic object detection: A survey. Int J Comput Vis 128(2):261\u2013318","journal-title":"Int J Comput Vis"},{"key":"200_CR64","unstructured":"Lowe D (1999) Bobject recognition from local scale-invariant features, In: Proceeding of 7th international conference. Computer Vision, Kerkyra, Greece pp. 1150\u20131157"},{"issue":"2","key":"200_CR65","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91\u2013110","journal-title":"Int J Comput Vis"},{"key":"200_CR66","doi-asserted-by":"crossref","unstructured":"Luo Z, Zhou L, Bai X, Chen H, Zhang J, Yao Y, Li S, Fang T, Quan L (2020) Aslfeat: Learning local features of accurate shape and localization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6589\u20136598","DOI":"10.1109\/CVPR42600.2020.00662"},{"key":"200_CR67","doi-asserted-by":"crossref","unstructured":"Ma J, Jiang X, Fan A, Jiang J, Yan J (2020) Image matching from handcrafted to deep features: A survey. Int J Comput Vis pp. 1\u201357","DOI":"10.1007\/s11263-020-01359-2"},{"issue":"10","key":"200_CR68","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1016\/j.imavis.2004.02.006","volume":"22","author":"J Matas","year":"2004","unstructured":"Matas J, Chum O, Urban M, Pajdla T (2004) Robust wide-baseline stereo from maximally stable extremal regions. Image Vis Comput 22(10):761\u2013767","journal-title":"Image Vis Comput"},{"key":"200_CR69","doi-asserted-by":"crossref","unstructured":"Mikolajczyk K, Schmid C (2002) An affine invariant interest point detector. In: European conference on computer vision, pp. 128\u2013142. Springer, Berlin","DOI":"10.1007\/3-540-47969-4_9"},{"issue":"10","key":"200_CR70","doi-asserted-by":"crossref","first-page":"1615","DOI":"10.1109\/TPAMI.2005.188","volume":"27","author":"K Mikolajczyk","year":"2005","unstructured":"Mikolajczyk K, Schmid C (2005) A performance evaluation of local descriptors. IEEE Trans Pattern Anal Mach Intell 27(10):1615\u20131630","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"200_CR71","unstructured":"Miksik O, Mikolajczyk K (2012) Evaluation of local detectors and descriptors for fast feature matching. In: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp. 2681\u20132684. IEEE"},{"key":"200_CR72","unstructured":"Moravec H (1977) Towards automatic visual obstacle avoidance. In: Proceeding of the 5th International Joint Conference on Artificial Intelligence, 1977"},{"issue":"3","key":"200_CR73","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1007\/s11263-006-9967-1","volume":"73","author":"P Moreels","year":"2007","unstructured":"Moreels P, Perona P (2007) Evaluation of features detectors and descriptors based on 3d objects. Int J Comput Vis 73(3):263\u2013284","journal-title":"Int J Comput Vis"},{"key":"200_CR74","unstructured":"Morel J, Yu G (2016) Affine-sift(asift). http:\/\/www.cmap.polytechnique.fr\/yu\/research\/ASIFT\/demo.html"},{"issue":"2","key":"200_CR75","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1137\/080732730","volume":"2","author":"JM Morel","year":"2009","unstructured":"Morel JM, Yu G (2009) Asift: A new framework for fully affine invariant image comparison. SIAM J Imaging Sci 2(2):438\u2013469","journal-title":"SIAM J Imaging Sci"},{"issue":"10","key":"200_CR76","doi-asserted-by":"crossref","first-page":"4958","DOI":"10.1109\/TIP.2018.2848465","volume":"27","author":"K Nai","year":"2018","unstructured":"Nai K, Li Z, Li G, Wang S (2018) Robust object tracking via local sparse appearance model. IEEE Trans Image Process 27(10):4958\u20134970","journal-title":"IEEE Trans Image Process"},{"key":"200_CR77","doi-asserted-by":"crossref","unstructured":"Noh H, Araujo A, Sim J, Weyand T, Han B (2017) Large-scale image retrieval with attentive deep local features. In: Proceedings of the IEEE international conference on computer vision, pp. 3456\u20133465","DOI":"10.1109\/ICCV.2017.374"},{"issue":"7","key":"200_CR78","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala T, Pietikainen M, Maenpaa T (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24(7):971\u2013987","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"200_CR79","unstructured":"Ono Y, Trulls E, Fua P, Yi KM (2018) Lf-net: learning local features from images. In: Advances in neural information processing systems, pp. 6234\u20136244"},{"key":"200_CR80","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1016\/j.procs.2016.07.224","volume":"93","author":"MI Patel","year":"2016","unstructured":"Patel MI, Thakar VK, Shah SK (2016) Image registration of satellite images with varying illumination level using hog descriptor based surf. Proc Comput Sci 93:382\u2013388","journal-title":"Proc Comput Sci"},{"issue":"12","key":"200_CR81","doi-asserted-by":"crossref","first-page":"2538","DOI":"10.1109\/TPAMI.2013.250","volume":"36","author":"F Pernici","year":"2013","unstructured":"Pernici F, Del Bimbo A (2013) Object tracking by oversampling local features. IEEE Trans Pattern Anal Mach Intell 36(12):2538\u20132551","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"200_CR82","doi-asserted-by":"crossref","unstructured":"Perronnin F, S\u00e1nchez J, Mensink T (2010) Improving the fisher kernel for large-scale image classification. In: European conference on computer vision, pp. 143\u2013156. Springer, Berlin","DOI":"10.1007\/978-3-642-15561-1_11"},{"issue":"1","key":"200_CR83","first-page":"81","volume":"1","author":"JR Quinlan","year":"1986","unstructured":"Quinlan JR (1986) Induction of decision trees. Mach Learn 1(1):81\u2013106","journal-title":"Mach Learn"},{"key":"200_CR84","unstructured":"Restrepo MI, Mundy JL (2012) An evaluation of local shape descriptors in probabilistic volumetric scenes. In: BMVC, pp. 1\u201311"},{"key":"200_CR85","doi-asserted-by":"crossref","unstructured":"Rosten E, Drummond T (2006) Machine learning for high-speed corner detection. In: European conference on computer vision, pp. 430\u2013443. Springer, Berlin","DOI":"10.1007\/11744023_34"},{"key":"200_CR86","doi-asserted-by":"crossref","unstructured":"Rublee E, Rabaud V, Konolige K, Bradski G (2011) Orb: An efficient alternative to sift or surf. In: 2011 International conference on computer vision, pp. 2564\u20132571. IEEE","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"200_CR87","doi-asserted-by":"crossref","unstructured":"Russakovsky O, Deng J, Su H, Krause J, Satheesh S, Ma S, Huang Z, Karpathy A, Khosla A, Bernstein M, Berg AC, Fei-Fei L (2014) Imagenet large scale visual recognition challenge","DOI":"10.1007\/s11263-015-0816-y"},{"key":"200_CR88","doi-asserted-by":"crossref","unstructured":"Salahat E, Qasaimeh M (2017) Recent advances in features extraction and description algorithms: A comprehensive survey. In: 2017 IEEE international conference on industrial technology (ICIT), pp. 1059\u20131063. IEEE","DOI":"10.1109\/ICIT.2017.7915508"},{"issue":"5","key":"200_CR89","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1109\/34.589215","volume":"19","author":"C Schmid","year":"1997","unstructured":"Schmid C, Mohr R (1997) Local grayvalue invariants for image retrieval. IEEE Trans Pattern Anal Mach Intell 19(5):530\u2013535","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"200_CR90","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1023\/A:1008199403446","volume":"37","author":"C Schmid","year":"2000","unstructured":"Schmid C, Mohr R, Bauckhage C (2000) Evaluation of interest point detectors. Int J Comput Vis 37(2):151\u2013172","journal-title":"Int J Comput Vis"},{"issue":"8","key":"200_CR91","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1016\/S0167-8655(02)00035-1","volume":"23","author":"F Shen","year":"2002","unstructured":"Shen F, Wang H (2002) Corner detection based on modified hough transform. Pattern Recogn Lett 23(8):1039\u20131049","journal-title":"Pattern Recogn Lett"},{"key":"200_CR92","unstructured":"Shen S Image classification of fashion-mnist dataset using long short-term memory networks"},{"key":"200_CR93","doi-asserted-by":"crossref","unstructured":"Shen X, Wang C, Li X, Yu Z, Li J, Wen C, Cheng M, He Z (2019) Rf-net: An end-to-end image matching network based on receptive field. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8132\u20138140","DOI":"10.1109\/CVPR.2019.00832"},{"key":"200_CR94","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556"},{"key":"200_CR95","doi-asserted-by":"crossref","unstructured":"Sivic J, Zisserman A (2003) Video google: A text retrieval approach to object matching in videos. In: null, p. 1470. IEEE","DOI":"10.1109\/ICCV.2003.1238663"},{"issue":"1","key":"200_CR96","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1023\/A:1007963824710","volume":"23","author":"SM Smith","year":"1997","unstructured":"Smith SM, Brady JM (1997) Susan-a new approach to low level image processing. Int J Comput Vis 23(1):45\u201378","journal-title":"Int J Comput Vis"},{"key":"200_CR97","doi-asserted-by":"crossref","unstructured":"Srisuk S, Suwannapong C, Kitisriworapan S, Kaewsong A, Ongkittikul S (2019) Performance evaluation of real-time object detection algorithms. In: 2019 7th International Electrical Engineering Congress (iEECON), pp. 1\u20134. IEEE","DOI":"10.1109\/iEECON45304.2019.8938687"},{"issue":"1","key":"200_CR98","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/TPAMI.2011.103","volume":"34","author":"C Strecha","year":"2011","unstructured":"Strecha C, Bronstein A, Bronstein M, Fua P (2011) Ldahash: Improved matching with smaller descriptors. IEEE Trans Pattern Anal Mach Intell 34(1):66\u201378","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"200_CR99","doi-asserted-by":"crossref","unstructured":"Strecha C, Lindner A, Ali K, Fua P (2009) Training for task specific keypoint detection. In: Joint pattern recognition symposium, pp. 151\u2013160. Springer, Berlin","DOI":"10.1007\/978-3-642-03798-6_16"},{"key":"200_CR100","doi-asserted-by":"crossref","unstructured":"Strecha C, Von\u00a0Hansen W, Van\u00a0Gool L, Fua P, Thoennessen U (2008) On benchmarking camera calibration and multi-view stereo for high resolution imagery. In: 2008 IEEE conference on computer vision and pattern recognition, pp. 1\u20138. IEEE","DOI":"10.1109\/CVPR.2008.4587706"},{"key":"200_CR101","unstructured":"Su X, Lin W, Zheng X, Han X, Chu H, Zhang X (2013) A new local-main-gradient-orientation hog and contour differences based algorithm for object classification. In: 2013 IEEE international symposium on circuits and systems (ISCAS), pp. 2892\u20132895. IEEE"},{"issue":"11","key":"200_CR102","doi-asserted-by":"crossref","first-page":"2165","DOI":"10.1016\/j.patcog.2004.03.013","volume":"37","author":"Z Sun","year":"2004","unstructured":"Sun Z, Bebis G, Miller R (2004) Object detection using feature subset selection. Pattern Recogn 37(11):2165\u20132176","journal-title":"Pattern Recogn"},{"key":"200_CR103","doi-asserted-by":"crossref","unstructured":"Szegedy C, Liu W, Jia Y, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A (2015) Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1\u20139","DOI":"10.1109\/CVPR.2015.7298594"},{"issue":"1","key":"200_CR104","doi-asserted-by":"crossref","first-page":"e0207191","DOI":"10.1371\/journal.pone.0207191","volume":"14","author":"SY Tan","year":"2019","unstructured":"Tan SY, Arshad H, Abdullah A (2019) Distinctive accuracy measurement of binary descriptors in mobile augmented reality. PloS one 14(1):e0207191","journal-title":"PloS one"},{"key":"200_CR105","unstructured":"$$\\kappa \\alpha \\iota $$ Tomasi, J.S.: Good features to track. In: $$\\varSigma \\tau $$o: Proceedings of the 1994 IEEE computer society conference on computer vision and pattern recognition. CVPR (1994)"},{"key":"200_CR106","unstructured":"Torr PHS (1995) Motion segmentation and outlier detection. Ph.D. thesis, University of Oxford England"},{"key":"200_CR107","doi-asserted-by":"crossref","unstructured":"Trujillo L, Olague G (2006) Synthesis of interest point detectors through genetic programming. In: Proceedings of the 8th annual conference on Genetic and evolutionary computation, pp. 887\u2013894","DOI":"10.1145\/1143997.1144151"},{"key":"200_CR108","doi-asserted-by":"crossref","unstructured":"Trzcinski T, Christoudias M, Fua P, Lepetit V (2013) Boosting binary keypoint descriptors. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2874\u20132881","DOI":"10.1109\/CVPR.2013.370"},{"key":"200_CR109","unstructured":"Trzcinski T, Christoudias M, Lepetit V, Fua P (2012) Learning image descriptors with the boosting-trick. In: Advances in neural information processing systems, pp. 269\u2013277"},{"issue":"3","key":"200_CR110","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1561\/0600000017","volume":"3","author":"T Tuytelaars","year":"2008","unstructured":"Tuytelaars T, Mikolajczyk K (2008) Local invariant feature detectors: a survey. Found Trends\u00ae Comput Graphics Vis 3(3):177\u2013280","journal-title":"Found Trends\u00ae Comput Graphics Vis"},{"key":"200_CR111","unstructured":"Uchida Y (2016) Local feature detectors, descriptors, and image representations: A survey. arXiv preprint arXiv:1607.08368"},{"issue":"2","key":"200_CR112","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1080\/01431161.2019.1648904","volume":"41","author":"K Uehara","year":"2020","unstructured":"Uehara K, Nosato H, Murakawa M, Nakamura R, Miyamoto H, Sakanashi H (2020) Multi-channel higher-order local autocorrelation for object detection on satellite images. Int J Remote Sens 41(2):752\u2013771","journal-title":"Int J Remote Sens"},{"key":"200_CR113","doi-asserted-by":"crossref","unstructured":"Uehara K, Sakanashi H, Nosato H, Murakawa M, Miyamoto H, Nakamura R (2017) Object detection of satellite images using multi-channel higher-order local autocorrelation. In: 2017 IEEE international conference on systems, man, and cybernetics (SMC), pp. 1339\u20131344. IEEE","DOI":"10.1109\/SMC.2017.8122799"},{"key":"200_CR114","doi-asserted-by":"crossref","unstructured":"Verdie Y, Yi K, Fua P, Lepetit V (2015) Tilde: A temporally invariant learned detector. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 5279\u20135288","DOI":"10.1109\/CVPR.2015.7299165"},{"key":"200_CR115","doi-asserted-by":"crossref","DOI":"10.1002\/9783527693306","volume-title":"Infrared thermal imaging: fundamentals, research and applications","author":"M Vollmer","year":"2017","unstructured":"Vollmer M, M\u00f6llmann KP (2017) Infrared thermal imaging: fundamentals, research and applications. Wiley, New York"},{"key":"200_CR116","doi-asserted-by":"crossref","first-page":"71235","DOI":"10.1109\/ACCESS.2019.2918813","volume":"7","author":"R Wang","year":"2019","unstructured":"Wang R, Zhang W, Shi Y, Wang X, Cao W (2019) Ga-orb: A new efficient feature extraction algorithm for multispectral images based on geometric algebra. IEEE Access 7:71235\u201371244","journal-title":"IEEE Access"},{"key":"200_CR117","doi-asserted-by":"crossref","unstructured":"Wang S (2011) A review of gradient-based and edge-based feature extraction methods for object detection. In: 2011 IEEE 11th international conference on computer and information technology, pp. 277\u2013282. IEEE","DOI":"10.1109\/CIT.2011.51"},{"key":"200_CR118","doi-asserted-by":"crossref","unstructured":"Yao Q, Hu X, Lei H (2019) Geospatial object detection in remote sensing images based on multi-scale convolutional neural networks. In: IGARSS 2019-2019 IEEE international geoscience and remote sensing symposium, pp. 1450\u20131453. IEEE","DOI":"10.1109\/IGARSS.2019.8897851"},{"key":"200_CR119","doi-asserted-by":"crossref","unstructured":"Yi KM, Trulls E, Lepetit V, Fua P (2016) Lift: Learned invariant feature transform. In: European conference on computer vision, pp. 467\u2013483. Springer, Berlin","DOI":"10.1007\/978-3-319-46466-4_28"},{"key":"200_CR120","unstructured":"Yi KM, Verdie Y, Fua P, Lepetit V (2016) Learning to assign orientations to feature points. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 107\u2013116"},{"key":"200_CR121","doi-asserted-by":"crossref","first-page":"94508","DOI":"10.1109\/ACCESS.2019.2928522","volume":"7","author":"X Ying","year":"2019","unstructured":"Ying X, Wang Q, Li X, Yu M, Jiang H, Gao J, Liu Z, Yu R (2019) Multi-attention object detection model in remote sensing images based on multi-scale. IEEE Access 7:94508\u201394519","journal-title":"IEEE Access"},{"key":"200_CR122","doi-asserted-by":"crossref","unstructured":"Zhang X, Yu FX, Karaman S, Chang SF (2017) Learning discriminative and transformation covariant local feature detectors. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 6818\u20136826","DOI":"10.1109\/CVPR.2017.523"},{"issue":"1\u20132","key":"200_CR123","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/0004-3702(95)00022-4","volume":"78","author":"Z Zhang","year":"1995","unstructured":"Zhang Z, Deriche R, Faugeras O, Luong QT (1995) A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artif Intell 78(1\u20132):87\u2013119","journal-title":"Artif Intell"},{"issue":"5","key":"200_CR124","doi-asserted-by":"crossref","first-page":"1224","DOI":"10.1109\/TPAMI.2017.2709749","volume":"40","author":"L Zheng","year":"2017","unstructured":"Zheng L, Yang Y, Tian Q (2017) Sift meets cnn: A decade survey of instance retrieval. IEEE Trans Pattern Anal Mach Intell 40(5):1224\u20131244","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"200_CR125","unstructured":"Zuniga OA (1983) Corner detection using the facet model. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC"}],"container-title":["International Journal of Multimedia Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13735-020-00200-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13735-020-00200-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13735-020-00200-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,16]],"date-time":"2024-08-16T19:04:40Z","timestamp":1723835080000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13735-020-00200-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,31]]},"references-count":125,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["200"],"URL":"https:\/\/doi.org\/10.1007\/s13735-020-00200-3","relation":{},"ISSN":["2192-6611","2192-662X"],"issn-type":[{"value":"2192-6611","type":"print"},{"value":"2192-662X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,31]]},"assertion":[{"value":"22 May 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 October 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 October 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 October 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}