Scale & Affine Invariant Interest Point Detectors

Multiple View Geometry in Computer Vision

Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070

Object recognition from local scale-invariant features

Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472

A Combined Corner and Edge Detector

Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901

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Robust wide-baseline stereo from maximally stable extremal regions

Matas, J., Chum, O., Urban, M., & Pajdla, T. (2004) · Image and Vision Computing · doi:10.1016/j.imavis.2004.02.006 · Cited by 3,760

The design and use of steerable filters

Freeman, W. T., & Adelson, E. H. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.93808 · Cited by 2,937

Feature detection with automatic scale selection

Lindeberg, T. (1998) · International Journal of Computer Vision · doi:10.1023/a:1008045108935 · Cited by 2,541

Evaluation of Interest Point Detectors

Schmid, C., Mohr, R., & Bauckhage, C. (2000) · International Journal of Computer Vision · doi:10.1023/a:1008199403446 · Cited by 1,484

Local grayvalue invariants for image retrieval

Schmid, C., & Mohr, R. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.589215 · Cited by 1,430

An Affine Invariant Interest Point Detector

Mikolajczyk, K., & Schmid, C. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-47969-4_9 · Cited by 1,325

Recent development of perceptual image hashing

Wang, S., & Zhang, X. (2007) · Journal of Shanghai University (English Edition) · doi:10.1007/s11741-007-0401-2 · Cited by 23

2D invariant object recognition using Log-Polar transform

Matungka, R., Zheng, Y. F., & Ewing, R. L. (2008) · World Congress on Intelligent Control and Automation · doi:10.1109/wcica.2008.4592928 · Cited by 23

Monocular Simultaneous Localisation and Mapping

Eade, E. (2008) · Cited by 23

Triple Robustness Augmentation Local Features for multi-source image registration

Wang, C., Xu, L., Xu, R., Xu, S., Meng, W., Wang, R., & Zhang, X. (2023) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2023.03.023 · Cited by 22

Max-SIFT: Flipping invariant descriptors for Web logo search

Xie, L., Tian, Q., & Zhang, B. (2014) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2014.7026156 · Cited by 22

Searching visual instances with topology checking and context modeling

Zhang, W., & Ngo, C. (2013) · International Conference on Multimedia Retrieval · doi:10.1145/2461466.2461477 · Cited by 22

The medial feature detector: Stable regions from image boundaries

Avrithis, Y., & Rapantzikos, K. E. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126436 · Cited by 22

Evolving estimators of the pointwise Hölder exponent with Genetic Programming

Trujillo, L., Legrand, P., Gustavo Olague, A., & Véhel, J. L. (2012) · Information Sciences · doi:10.1016/j.ins.2012.04.043 · Cited by 22

Scale Selection

Lindeberg, T. (2014) · Springer eBooks · doi:10.1007/978-0-387-31439-6_242 · Cited by 22

Adaptive Non-Maximum Suppression for improving performance of Rumex detection

Al-Badri, A. H., Ismail, N. A., Al-Dulaimi, K., Salman, G. A., & Salam, M. S. H. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.119634 · Cited by 24

Potential of SIFT, SURF, KAZE, AKAZE, ORB, BRISK, AGAST, and 7 More Algorithms for Matching Extremely Variant Image Pairs

Tareen, S. A. K., & Raza, R. H. (2023) · International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) · doi:10.1109/icomet57998.2023.10099250 · Cited by 22

Hessian-Based Affine Adaptation of Salient Local Image Features

Lakemond, R., Sridharan, S., & Fookes, C. (2011) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-011-0317-8 · Cited by 22

An Action Recognition Scheme Using Fuzzy Log-Polar Histogram and Temporal Self-Similarity

Sadek, S., Al-Hamadi, A. K., Michaelis, B., & Sayed, U. (2011) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2011/540375 · Cited by 22

Fast pattern recognition using normalized grey-scale correlation in a pyramid image representation

MacLean, W. J., & Tsotsos, J. K. (2007) · Machine Vision and Applications · doi:10.1007/s00138-007-0089-8 · Cited by 22

Exploiting Text-Related Features for Content-based Image Retrieval

Schroth, G., Hilsenbeck, S., Huitl, R., Schweiger, F., & Steinbach, E. G. (2011) · IEEE International Symposium on Multimedia (ISM) · doi:10.1109/ism.2011.21 · Cited by 22

Large-scale multimedia data mining using MapReduce framework

Wang, H., Shen, Y. C., Wang, L., Zhufeng, K., Wang, W., & Cheng, C. (2012) · IEEE International Conference on Cloud Computing Technology and Science · doi:10.1109/cloudcom.2012.6427595 · Cited by 22

Near-Duplicate Image Detection in a Visually Salient Riemannian Space

Zheng, L., Lei, Y., Qiu, G., & Huang, J. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2206386 · Cited by 22

Large-scale, dense city reconstruction from user-contributed photos

Irschara, A., Zach, C., Klopschitz, M., & Bischof, H. (2011) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2011.07.010 · Cited by 22

Mobile robot localization using panoramic vision and combinations of feature region detectors

Arnau Ramisa, A., Tapus, A., de Mántaras, R. L., & Toledo, R. (2008) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2008.4543262 · Cited by 22

Local Image Features for Shoeprint Image Retrieval

Su, H., Crookes, D., Bouridane, A., & Gueham, M. (2007) · British Machine Vision Conference (BMVC) · doi:10.5244/c.21.38 · Cited by 22

Neighborhood Matching for Image Retrieval

González-Díaz, I., Birinci, M., Díaz-de-María, F., & Delp, E. J. (2016) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2016.2616298 · Cited by 22

Phantomless Auto-Calibration and Online Calibration Assessment for a Tracked Freehand 2-D Ultrasound Probe

Toews, M., & Wells, W. M. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2750978 · Cited by 22

Stereo Odometry – A Review of Approaches

Sünderhauf, N., & Protzel, P. (2007) · Cited by 22

Corner detection of intensity images with cellular neural networks (CNN) and evolutionary techniques

Cuevas, E., Díaz-Cortés, M.-A., & Mezura‐Montes, E. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.03.014 · Cited by 22

Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning

Do, T.-T., Le, K., Hoang, T., Le, H., Nguyen, T. V., & Cheung, N. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2913509 · Cited by 22

Automatic Semi-Global Artificial Shoreline Subpixel Localization Algorithm for Landsat Imagery

Song, Y. T., Liu, F., Ling, F., & Yue, L. (2019) · Remote Sensing · doi:10.3390/rs11151779 · Cited by 22

U-Net with optimal thresholding for small blob detection in medical images

Xu, Y., Gao, F., Wu, T., Bennett, K. M., Charlton, J. R., & Sarkar, S. (2019) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/coase.2019.8843234 · Cited by 22

Provably Scale-Covariant Continuous Hierarchical Networks Based on Scale-Normalized Differential Expressions Coupled in Cascade

Lindeberg, T. (2019) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-019-00915-x · Cited by 23

Image classification using SLIC superpixel and FAAGKFCM image segmentation

Singh, N. K., Singh, N. J., & Kumar, W. K. (2019) · IET Image Processing · doi:10.1049/iet-ipr.2019.0255 · Cited by 22

A KD curvature based corner detector

Chen, S., Meng, H., Zhang, C., & Liu, C. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.01.102 · Cited by 22

Increasing the accuracy of feature evaluation benchmarks using differential evolution

Cordes, K., Rosenhahn, B., & Östermann, J. (2011) · IEEE Symposium on Differential Evolution (SDE) · doi:10.1109/sde.2011.5952056 · Cited by 22

Reciprocal Image Features for Uncalibrated Helmholtz Stereopsis

Zickler, T. E. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.241 · Cited by 22

Geometrically invariant watermarking using affine covariant regions

Deng, C. D., Gao, X., Tao, D., & Li, X. (2008) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2008.4711779 · Cited by 22

Feature Learning and Deep Learning Architecture Survey

Krig, S. (2016) · Springer eBooks · doi:10.1007/978-3-319-33762-3_10 · Cited by 22

Derivative-Based Scale Invariant Image Feature Detector With Error Resilience

Mainali, P., Lafruit, G., Tack, K., Gool, L. V., & Lauwereins, R. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2315959 · Cited by 21

FocusTune: Tuning Visual Localization through Focus-Guided Sampling

Nguyen, S. T., Fontan, A., Milford, M. J., & Fischer, T. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00357 · Cited by 21

Distance Solutions for Medial Axis Transform

Xia, H., & Tucker, P. G. (2009) · Springer eBooks · doi:10.1007/978-3-642-04319-2_15 · Cited by 21

Fast image copy detection approach based on local fingerprint defined visual words

Ling, H., Yan, L., Zou, F., Liu, C., & Feng, H. (2012) · Signal Processing · doi:10.1016/j.sigpro.2012.08.011 · Cited by 21

Object segmentation and learning through feature grouping and manipulation

Kuzmič, E. S., & Ude, A. (2010) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/ichr.2010.5686266 · Cited by 21

Correlation-based retrieval for heavily changed near-duplicate videos

Liu, J., Huang, Z. H., Shen, H. T., & Cui, B. (2011) · ACM Transactions on Information Systems · doi:10.1145/2037661.2037666 · Cited by 21

Improved repeatability measures for evaluating performance of feature detectors

Ehsan, S., Kanwal, N., Clark, A. F., & McDonald-Maier, K. D. (2010) · Electronics Letters · doi:10.1049/el.2010.1442 · Cited by 21

Robust color image retrieval using visual interest point feature of significant bit-planes

Wang, X., Yang, H., Li, Y., & Yang, F.-Y. (2013) · Digital Signal Processing · doi:10.1016/j.dsp.2013.01.013 · Cited by 21

A new robust 2D camera calibration method using RANSAC

Lv, Y., Feng, J., Li, Z., Liu, W., & Cao, J. (2015) · Optik · doi:10.1016/j.ijleo.2015.09.117 · Cited by 21

Similarity-based visualization of large image collections

Wang, C., Reese, J. P., Zhang, H., Tao, J., Gu, Y., Ma, J., & Nemiroff, R. J. (2013) · Information Visualization · doi:10.1177/1473871613498519 · Cited by 22

A low-dimensional local descriptor incorporating TPS warping for image matching

Duanduan, Y., & Sluzek, A. S. (2009) · Image and Vision Computing · doi:10.1016/j.imavis.2009.12.003 · Cited by 21

Robust fast corner detector based on filled circle and outer ring mask

Xing, Y., Zhang, D., Zhao, J., Sun, M., & Jia, W. (2016) · IET Image Processing · doi:10.1049/iet-ipr.2014.0952 · Cited by 21

Survey of image registration methods

Eastman, R. D., Netanyahu, N. S., & Moigne, J. L. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511777684.004 · Cited by 21

Simple Techniques Make Sense: Feature Pooling and Normalization for Image Classification

Xie, L., Tian, Q., & Zhang, B. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2015.2461978 · Cited by 21

Fast, Compact, and Discriminative: Evaluation of Binary Descriptors for Mobile Applications

Madeo, S., & Bober, M. Z. (2016) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2016.2615521 · Cited by 21

An Evaluation of Local Feature Detectors and Descriptors for Infrared Images

Johansson, J., Solli, M., & Maki, A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-49409-8_59 · Cited by 21

Multi-script text versus non-text classification of regions in scene images

Sriman, B., & Schomaker, L. (2019) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2019.04.007 · Cited by 21

FALKON: Large-Scale Content-Based Video Retrieval Utilizing Deep-Features and Distributed In-memory Computing

Khan, M. N., Alam, A., & Lee, Y.-K. (2020) · IEEE International Conference on Big Data and Smart Computing (BigComp) · doi:10.1109/bigcomp48618.2020.0-102 · Cited by 21

Spatially-Sensitive Affine-Invariant Image Descriptors

Bronstein, A. M., & Bronstein, M. M. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15552-9_15 · Cited by 21

The Role of Keypoint Sampling on the Classification of Melanomas in Dermoscopy Images Using Bag-of-Features

Barata, C., Marques, J. S., & Rozeira, J. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38628-2_85 · Cited by 21

Top-Points as Interest Points for Image Matching

Platel, B., Balmachnova, E., Florack, L. M. J., & Romeny, B. M. T. H. (2006) · Lecture notes in computer science · doi:10.1007/11744023_33 · Cited by 21

Detection of exact and similar partial copies for copyright protection of manga

Sun, W., & Kise, K. (2013) · International Journal on Document Analysis and Recognition (IJDAR) · doi:10.1007/s10032-013-0199-y · Cited by 21

Feature extraction for object recognition using PCA-KNN with application to medical image analysis

Kamencay, P., Hudec, R., Benčo, M., & Zachariášová, M. (2013) · International Conference on Telecommunications and Signal Processing (TSP) · doi:10.1109/tsp.2013.6614055 · Cited by 21

An SVM-based distal lung image classification using texture descriptors

Désir, C., Petitjean, C., Heutte, L., Thiberville, L., & Salaün, M. (2011) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2011.11.001 · Cited by 21

Statistical Learning of Visual Feature Hierarchies

Scalzo, F., & Piater, J. (2006) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvpr.2005.532 · Cited by 21

Understanding when spatial transformer networks do not support invariance, and what to do about it

Finnveden, L., Jansson, Y., & Lindeberg, T. (2020) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 21

Building recognition for mobile devices: incorporating positional information with visual features

Hutchings, R., & Mayol-Cuevas, W. W. (2005) · Bristol Research (University of Bristol) · Cited by 21

Illumination invariant feature point matching for high-resolution planetary remote sensing images

Wu, B., Zeng, H., & Hu, H. (2018) · Planetary and Space Science · doi:10.1016/j.pss.2018.01.007 · Cited by 20

Progressive Feature Matching with Alternate Descriptor Selection and Correspondence Enrichment

Hu, Y.-T., & Lin, Y. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.44 · Cited by 20

An empirical evaluation of translational and rotational invariance of descriptors and the classification of flower dataset

Rani, R., Kumar, R., & Singh, A. P. (2017) · Pattern Analysis and Applications · doi:10.1007/s10044-017-0641-8 · Cited by 20

Improving cross-dimensional weighting pooling with multi-scale feature fusion for image retrieval

Wang, Q., Lai, J., Yang, Z., Xu, K. M., Kan, P., Liu, W., & Lei, L. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.08.025 · Cited by 20

Single- and Cross-Modality Near Duplicate Image Pairs Detection via Spatial Transformer Comparing CNN

Zhang, Y., Zhang, S., Li, Y., & Zhang, Y. (2021) · Sensors · doi:10.3390/s21010255 · Cited by 20

ALGD-ORB: An improved image feature extraction algorithm with adaptive threshold and local gray difference

Chu, G., Yan, P., & Luo, X. (2023) · PLoS ONE · doi:10.1371/journal.pone.0293111 · Cited by 20

Multi-view Object Categorization and Pose Estimation

Savarese, S., & Fei-Fei, L. (2010) · Studies in computational intelligence · doi:10.1007/978-3-642-12848-6_8 · Cited by 20

Common Visual Pattern Discovery via Nonlinear Mean Shift Clustering

Wang, L., Tang, D. M., Guo, Y., & Do, M. N. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2481701 · Cited by 20

Band-to-band registration model for near-equatorial Earth observation satellite images with the use of automatic control point extraction

Dibs, H., Mansor, S. B., Ahmad, N., & Pradhan, B. (2015) · International Journal of Remote Sensing · doi:10.1080/01431161.2015.1034891 · Cited by 20

OBJECT RECOGNITION BASED ON BAG OF FEATURES AND A NEW LOCAL PATTERN DESCRIPTOR

Ferraz, C. T., PEREIRA, O., ROSA, M. V., & Gonzaga, A. (2014) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001414550106 · Cited by 20

Jet-Based Local Image Descriptors

Larsen, A., Darkner, S., Dahl, A. L., & Pedersen, K. S. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33712-3_46 · Cited by 20

Tracking-by-synthesis using point features and pyramidal blurring

Simon, G. (2011) · 2011 10th IEEE International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2011.6092373 · Cited by 28

Towards automated large scale discovery of image families

Aly, M., Welinder, P., Munich, M. E., & Perona, P. (2009) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2009.5204177 · Cited by 20

Visual synonyms for landmark image retrieval

Gavves, E., Snoek, C. G. M., & Smeulders, A. W. M. (2011) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2011.10.004 · Cited by 20

Keypoint Detection in RGBD Images Based on an Anisotropic Scale Space

Karpushin, M., Valenzise, G., & Frederic Dufaux, A. (2016) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2016.2590305 · Cited by 20

A novel approach to evaluate the delamination extent after edge trimming of carbon-fiber-reinforced composites

Wang, F., Yin, J., Jia, Z., Niu, B., & Liu, W. (2017) · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · doi:10.1177/0954405417699015 · Cited by 20

Explicit Spatial Encoding for Deep Local Descriptors

Mukundan, A., Tolias, G., & Chum, O. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00962 · Cited by 20

Visual SLAM Based on Dynamic Object Removal

Liu, H., Liu, G., Tian, G., Xin, S., & Ji, Z. (2019) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio49542.2019.8961397 · Cited by 20

Content-Based Image Retrieval and the Semantic Gap in the Deep Learning Era

Barz, B., & Denzler, J. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-68790-8_20 · Cited by 23

Anomaly detection of defect using energy of point pattern features within random finite set framework

Kamoona, A. M., Gostar, A. K., Wang, X., Easton, M. A., Bab‐Hadiashar, A., & Hoseinnezhad, R. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.107706 · Cited by 21

Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes

Song, W., Suganuma, M., Liu, X., Shimobayashi, N., Maruta, D., & Okatani, T. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00597 · Cited by 20

Hybrid Approach for Shelf Monitoring and Planogram Compliance (Hyb-SMPC) in Retails Using Deep Learning and Computer Vision

Saqlain, M., Rubab, S., Khan, M. M. Z. M., Ali, N., & Ali, S. (2022) · Mathematical Problems in Engineering · doi:10.1155/2022/4916818 · Cited by 20

Detection and matching of curvilinear structures

Lemaitre, C., Perďoch, M., Rahmoune, A., Matas, J., & Mitéran, J. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2011.01.005 · Cited by 20

Resolution- Independent Characteristic Scale Dedicated to Satellite Images

Luo, B., Aujol, J., Gousseau, Y., Ladjal, S., & Maı̂tre, H. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.906004 · Cited by 20

Affine invariant image watermarking using intensity probability density-based Harris Laplace detector

Wang, X., Niu, P., Yang, H., & Chen, L. (2012) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2012.05.008 · Cited by 20

Geolocation of Multiple Targets from Airborne Video Without Terrain Data

Han, K. M., & DeSouza, G. N. (2010) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-010-9442-7 · Cited by 20

Discovery of Image Versions in Large Collections

Foo, J. J., Sinha, R., & Zobel, J. (2006) · Lecture notes in computer science · doi:10.1007/978-3-540-69429-8_44 · Cited by 20

Selective hidden random fields: Exploiting domain-specific saliency for event classification

Jain, V., Singhal, A., & Luo, J. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587431 · Cited by 20

An Ensemble Approach to Image Matching Using Contextual Features

Morago, B., Bui, G. T. T., & Duan, Y. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2456498 · Cited by 19

KPB-SIFT

Zhao, G., Chen, L., Chen, G., & Yuan, J. (2010) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1873951.1874180 · Cited by 19

MegaStitch: Robust Large-Scale Image Stitching

Zarei, A., Gonzalez, E. M., Merchant, N. C., Pauli, D., Lyons, E. H., & Barnard, K. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3141907 · Cited by 19

Detection of Features to Track Objects and Segmentation Using GrabCut for Application in Marker-less Augmented Reality

Khandelwal, P., Swarnalatha, P., Bisht, N., & Prabu, S. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.08.090 · Cited by 19

Visible and infrared image registration based on visual salient features

Wu, F., Wang, B., Yi, X., Li, M., Hao, J., Qin, H., & Zhou, H. (2015) · Journal of Electronic Imaging · doi:10.1117/1.jei.24.5.053017 · Cited by 19

Topological SLAM Using Omnidirectional Images: Merging Feature Detectors and Graph-Matching

Romero, A., & Cazorla, M. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-17688-3_43 · Cited by 19

Multi-feature pLSA for combining visual features in image annotation

Zhang, R., Zhang, L., Wang, X., & Guan, L. (2011) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2072298.2072053 · Cited by 19

Photographing Paintings by Image Fusion

Haro, G., Buades, A., & Morel, J. (2012) · SIAM Journal on Imaging Sciences · doi:10.1137/120873923 · Cited by 19

Street view goes indoors: Automatic pose estimation from uncalibrated unordered spherical panoramas

Aly, M., & Bouguet, J.-Y. (2012) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2012.6162996 · Cited by 19

Efficient Iris Recognition Based on Optimal Subfeature Selection and Weighted Subregion Fusion

Chen, Y., Liu, Y., Zhu, X., He, F., Wang, H., & Deng, N. (2014) · The Scientific World JOURNAL · doi:10.1155/2014/157173 · Cited by 19

Sketch Retrieval via Dense Stroke Features

Ma, C., Yang, X., Zhang, C., Ruan, X., & Yang, M. (2013) · British Machine Vision Conference (BMVC) · doi:10.5244/c.27.65 · Cited by 19

An Affine Invariant Interest Point Detector

Mikolajczyk, K., & Schmid, C. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-47969-4_9 · Cited by 1,325

Scale and affine invariant interest point detectors

Mikolajczyk, K., & Schmid, C. (2004)

Affine Invariant Harris-Bessel Interest Point Detector

Mahmoodi, S., & Saba, N. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-14364-4_35

Invariant image descriptors and affine morphological scale-space

Sur, F. (2007) · Cited by 2

An affine invariant interest point and region detector based on Gabor filters

Xu, W., Huang, X., Li, X., Zhang, Y., Zhang, J., & Zhang, W. (2010) · International Conference on Control, Automation, Robotics and Vision (ICARCV) · doi:10.1109/icarcv.2010.5707276 · Cited by 3