A Combined Corner and Edge Detector
Abstract
Consistency of image edge filtering is of prime importance for 3D interpretation of image sequences using feature tracking algorithms. To cater for image regions containing texture and isolated features, a combined corner and edge detector based on the local auto-correlation function is utilised, and it is shown to perform with good consistency on natural imagery.
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Obstacle avoidance and navigation in the real world by a seeing robot rover
Moravec, H. (2018) · KiltHub Repository · doi:10.1184/r1/6557033 · Cited by 842 · see citing works
Finding Edges and Lines in Images
Canny, J. (1983) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 811 · see citing works
3D positional integration from image sequences
Harris, C. G., & Pike, J. M. (1988) · Image and Vision Computing · doi:10.1016/0262-8856(88)90003-0 · Cited by 134 · see citing works
Self-citationSurface reconstruction from outdoor image sequences
Charnley, D., & Blissett, R. J. (1989) · Image and Vision Computing · doi:10.1016/0262-8856(89)90014-0 · Cited by 32 · see citing works
3D wire-frame integration from image sequences
Stephens, M., & Harris, C. (1989) · Image and Vision Computing · doi:10.1016/0262-8856(89)90016-4 · Cited by 16 · see citing works
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Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589 · see citing works
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955 · see citing works
Speeded-Up Robust Features (SURF)
Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.09.014 · Cited by 13,557 · see citing works
ORB: An efficient alternative to SIFT or SURF
Rublee, E., Rabaud, V., Konolige, K., & Bradski, G. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126544 · Cited by 11,037 · see citing works
A performance evaluation of local descriptors
Mikolajczyk, K., & Schmid, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.188 · Cited by 6,723 · see citing works
Yılmaz, A., Javed, O., & Shah, M. A. (2006) · ACM Computing Surveys · doi:10.1145/1177352.1177355 · Cited by 4,807 · see citing works
Machine Learning for High-Speed Corner Detection
Rosten, E., & Drummond, T. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_34 · Cited by 4,555 · see citing works
‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications
Westoby, M., Brasington, J., Glasser, N. F., Hambrey, M. J., & Reynolds, J. M. (2012) · Geomorphology · doi:10.1016/j.geomorph.2012.08.021 · Cited by 4,066 · see citing works
BRISK: Binary Robust invariant scalable keypoints
Leutenegger, S., Chli, M., & Siegwart, R. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126542 · Cited by 3,551 · see citing works
SuperPoint: Self-Supervised Interest Point Detection and Description
DeTone, D., Malisiewicz, T., & Rabinovich, A. (2018) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2018.00060 · Cited by 3,546 · see citing works
Scale & Affine Invariant Interest Point Detectors
Mikolajczyk, K., & Schmid, C. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000027790.02288.f2 · Cited by 3,436 · see citing works
SUSAN—a new approach to low level image processing
Smith, S. M., & Brady, J. M. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007963824710 · Cited by 3,333 · see citing works
PCA-SIFT: a more distinctive representation for local image descriptors
Ke, Y., & Sukthankar, R. (2004) · Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. · doi:10.1109/cvpr.2004.1315206 · Cited by 3,237 · see citing works
Bag-of-visual-words and spatial extensions for land-use classification
Yang, Y., & Newsam, S. D. (2010) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/1869790.1869829 · Cited by 3,077 · see citing works
A comparison of affine region detectors
Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., & Gool, L. V. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-3848-x · Cited by 2,939 · see citing works
Automatic generation and detection of highly reliable fiducial markers under occlusion
Garrido-Jurado, S., Muñoz‐Salinas, R., Madrid-Cuevas, F. J., & Marín-Jiménez, M. J. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.01.005 · Cited by 2,632 · see citing works
Ivan Laptev, A. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-1838-7 · Cited by 2,631 · see citing works
Behavior Recognition via Sparse Spatio-Temporal Features
Dollár, P., Rabaud, V., Cottrell, G. W., & Belongie, S. (2006) · IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS) · doi:10.1109/vspets.2005.1570899 · Cited by 2,469 · see citing works
Learning to detect natural image boundaries using local brightness, color, and texture cues
Martin, D. R., Fowlkes, C. C., & Malik, J. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.1273918 · Cited by 2,424 · see citing works
MLESAC: A New Robust Estimator with Application to Estimating Image Geometry
Torr, P. H. S., & Zisserman, A. (2000) · Computer Vision and Image Understanding · doi:10.1006/cviu.1999.0832 · Cited by 2,402 · see citing works
Gallego, G., Delbruck, T., Orchard, G., Bartolozzi, C., Taba, B., Censi, A., Leutenegger, S., Davison, A. J., Conradt, J., Daniilidis, K., et al. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.3008413 · Cited by 2,566 · see citing works
Soft-NMS — Improving Object Detection with One Line of Code
Bodla, N., Singh, B., Chellappa, R., & Davis, L. S. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.593 · Cited by 2,274 · see citing works
“In feature point detectors [12], NMS is effective in performing local thresholding to obtain unique feature point detections.”
MethodA survey on vision-based human action recognition
Poppe, R. (2010) · Image and Vision Computing · doi:10.1016/j.imavis.2009.11.014 · Cited by 2,242 · see citing works
Anisotropic diffusion in image processing
Weickert, J. (1998) · Cited by 2,230 · see citing works
Modeling the World from Internet Photo Collections
Snavely, N., Seitz, S. M., & Szeliski, R. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-007-0107-3 · Cited by 2,147 · see citing works
Simplifying Graph Convolutional NetworksPreprint
Wu, F., Zhang, T., Junior, A. H. D. S., Fifty, C., Yu, T., & Weinberger, K. Q. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.07153 · Cited by 2,251 · see citing works
Aggarwal, J. K., & Ryoo, M. S. (2011) · ACM Computing Surveys · doi:10.1145/1922649.1922653 · Cited by 2,053 · see citing works
Faster and Better: A Machine Learning Approach to Corner Detection
Rosten, E., Porter, R. B., & Drummond, T. W. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.275 · Cited by 1,852 · see citing works
Alahi, A., Ortiz, R., & Vandergheynst, P. (2012) · 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.2012.6247715 · Cited by 1,791 · see citing works
Keyframe-based visual–inertial odometry using nonlinear optimization
Leutenegger, S., Lynen, S., Bosse, M. C., Siegwart, R., & Furgale, P. (2014) · The International Journal of Robotics Research · doi:10.1177/0278364914554813 · Cited by 1,718 · see citing works
Image Alignment and Stitching: A Tutorial
Szeliski, R. (2007) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000009 · Cited by 1,596 · see citing works
SIFT Flow: Dense Correspondence across Scenes and Its Applications
Liu, C., Yuen, J., & Torralba, A. B. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.147 · Cited by 1,590 · see citing works
Deformable medical image registration: a survey
Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587 · see citing works
Scaramuzza, D., & Fraundorfer, F. (2011) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2011.943233 · Cited by 1,550 · see citing works
Content-based multimedia information retrieval: State of the art and challenges
Lew, M. S., Sebe, N., Djeraba, C., & Jain, R. (2006) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/1126004.1126005 · Cited by 1,528 · see citing works
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 · see citing works
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
Niebles, J. C., Wang, H., & Fei-Fei, L. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0122-4 · Cited by 1,475 · see citing works
ASIFT: A New Framework for Fully Affine Invariant Image Comparison
Morel, J., & Yu, G. (2009) · SIAM Journal on Imaging Sciences · doi:10.1137/080732730 · Cited by 1,469 · see citing works
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 · see citing works
Seam carving for content-aware image resizing
Avidan, S., & Shamir, A. (2007) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1275808.1276390 · Cited by 1,396 · see citing works
Zhang, Z., Rachid Deriche, B., Faugeras, O. D., & Luong, Q.-T. (1995) · Artificial Intelligence · doi:10.1016/0004-3702(95)00022-4 · Cited by 1,368 · see citing works
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 · see citing works
LIFT: Learned Invariant Feature Transform
Yi, K. M., Trulls, E., Lepetit, V., & Fua, P. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46466-4_28 · Cited by 1,306 · see citing works
Evaluation of local spatio-temporal features for action recognition
Wang, H., Ullah, M. M., Kläser, A., Laptev, I., & Schmid, C. (2009) · British Machine Vision Conference (BMVC) · doi:10.5244/c.23.124 · Cited by 1,295 · see citing works
Laptev, & Tony Lindeberg, C. (2003) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238378 · Cited by 1,301 · see citing works
Local Invariant Feature Detectors: A Survey
Tuytelaars, T., & Mikolajczyk, K. (2007) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000017 · Cited by 1,218 · see citing works
Saliency, Scale and Image Description
Kadir, T., & Brady, M. (2001) · International Journal of Computer Vision · doi:10.1023/a:1012460413855 · Cited by 1,195 · see citing works
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Dusmanu, M., Rocco, I., Pajdla, T., Pollefeys, M., Šivic, J., Torii, A., & Sattler, T. (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.2019.00828 · Cited by 1,190 · see citing works
Fusing points and lines for high performance tracking
Rosten, E., & Drummond, T. W. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.104 · Cited by 1,127 · see citing works
Heyden, A., & Pollefeys, M. (2005) · Malmö University Publications (Malmö University) · Cited by 1,124 · see citing works
A sparse texture representation using local affine regions
Lazebnik, S., Schmid, C., & Ponce, J. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.151 · Cited by 1,118 · see citing works
Visual Place Recognition: A Survey
Lowry, S., Sünderhauf, N., Newman, P., Leonard, J. J., Cox, D., Corke, P., & Milford, M. J. (2016) · IEEE Transactions on Robotics · doi:10.1109/tro.2015.2496823 · Cited by 1,079 · see citing works
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
Sarlin, P.-E., Cadena, C., Siegwart, R., & Dymczyk, M. (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.2019.01300 · Cited by 1,075 · see citing works
Segmentation and Recognition Using Structure from Motion Point Clouds
Brostow, G. J., Shotton, J., Fauqueur, J., & Cipolla, R. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-88682-2_5 · Cited by 1,050 · see citing works
Nistér, D., Naroditsky, O., & Bergen, J. R. (2004) · 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.2004.1315094 · Cited by 1,031 · see citing works
A survey of vision-based methods for action representation, segmentation and recognition
Weinland, D., Ronfard, R. P., & Boyer, E. (2010) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2010.10.002 · Cited by 987 · see citing works
Image Matching from Handcrafted to Deep Features: A Survey
Ma, J.-Y., Jiang, X., Fan, A., Jiang, J., & Yan, J. (2020) · International Journal of Computer Vision · doi:10.1007/s11263-020-01359-2 · Cited by 977 · see citing works
Robust Point Set Registration Using Gaussian Mixture Models
Jian, B., & Vemuri, B. C. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.223 · Cited by 682 · see citing works
Pedestrian Detection via Classification on Riemannian Manifolds
Tuzel, O., Porikli, F., & Meer, P. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.75 · Cited by 969 · see citing works
LightGlue: Local Feature Matching at Light Speed
Lindenberger, P., Sarlin, P.-E., & Pollefeys, M. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01616 · Cited by 1,009 · see citing works
A performance evaluation of local descriptors
Mikolajczyk, K., & Schmid, C. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. · doi:10.1109/cvpr.2003.1211478 · Cited by 955 · see citing works
Camera self-calibration: Theory and experiments
Faugeras, O. D., Luong, Q.-T., & Maybank, S. J. (1992) · Lecture notes in computer science · doi:10.1007/3-540-55426-2_37 · Cited by 957 · see citing works
Robust Object Detection with Interleaved Categorization and Segmentation
Leibe, B., Leonardis, A., & Schiele, B. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-007-0095-3 · Cited by 930 · see citing works
Ma, Y., Soatto, S., Košecká, J., & Sastry, S. (2004) · Interdisciplinary applied mathematics · doi:10.1007/978-0-387-21779-6 · Cited by 894 · see citing works
Visual simultaneous localization and mapping: a survey
Fuentes-Pacheco, J., Ruiz-Ascencio, J., & Rendón-Mancha, J. M. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-012-9365-8 · Cited by 883 · see citing works
Feature Extraction and Image Processing
Nixon, M. S., Aguado, A. S., & Publishers, E. S. (2002) · Elsevier eBooks · doi:10.1016/c2009-0-25049-5 · Cited by 875 · see citing works
Visual Modeling with a Hand-Held Camera
Pollefeys, M., Gool, L. V., Vergauwen, M., Verbiest, F., Cornelis, K., Tops, J., & Koch, R. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000025798.50602.3a · Cited by 874 · see citing works
Combined Object Categorization and Segmentation With An Implicit Shape Model
Leibe, B., Leonardis, A., & Schiele, B. (2004) · Cited by 811 · see citing works
Bronstein, A. M., Bronstein, M. M., Guibas, L. J., & Ovsjanikov, M. (2011) · ACM Transactions on Graphics · doi:10.1145/1899404.1899405 · Cited by 811 · see citing works
Human Action Recognition and Prediction: A Survey
Kong, Y., & Fu, Y. (2022) · International Journal of Computer Vision · doi:10.1007/s11263-022-01594-9 · Cited by 832 · see citing works
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks
Se, S., Lowe, D. G., & Little, J. (2002) · The International Journal of Robotics Research · doi:10.1177/027836402761412467 · Cited by 775 · see citing works
The 2005 PASCAL Visual Object Classes Challenge
Everingham, M., Zisserman, A., Williams, C. K. I., Van Gool, L., Allan, M., Bishop, C. M., Chapelle, O., Dalal, N., Deselaers, T., Dorkó, G., et al. (2006) · Lecture Notes in Computer Science · doi:10.1007/11736790_8 · Cited by 765 · see citing works
Pose estimation for augmented reality: a hands-on survey
Marchand, E., Uchiyama, H., & Spindler, F. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2513408 · Cited by 746 · see citing works
Pollefeys, M., Koch, R., & Gool, L. V. (1999) · International Journal of Computer Vision · doi:10.1023/a:1008109111715 · Cited by 748 · see citing works
Visual Navigation for Mobile Robots: A Survey
Bonin‐Font, F., Ortiz, A., & Oliver, G. (2008) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-008-9235-4 · Cited by 699 · see citing works
Intelligent multi-camera video surveillance: A review
Wang, X. (2012) · Pattern Recognition Letters · doi:10.1016/j.patrec.2012.07.005 · Cited by 694 · see citing works
A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit
Padilla, R., Passos, W. L., Dias, T. L. B., Netto, S. L., & da Silva, E. A. B. (2021) · Electronics · doi:10.3390/electronics10030279 · Cited by 735 · see citing works
Automatic camera and range sensor calibration using a single shot
Geiger, A., Moosmann, F., Car, O., & Schuster, B. (2012) · IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2012.6224570 · Cited by 669 · see citing works
RIFT: Multi-Modal Image Matching Based on Radiation-Variation Insensitive Feature Transform
Li, J., Hu, Q., & Ai, M. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2959244 · Cited by 695 · see citing works
Two years of Visual Odometry on the Mars Exploration Rovers
Maimone, M., Cheng, Y., & Matthies, L. (2007) · Journal of Field Robotics · doi:10.1002/rob.20184 · Cited by 655 · see citing works
Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features
Xue, W., Mou, X., Zhang, L., Bovik, A. C., & Feng, X. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2355716 · Cited by 641 · see citing works
Going deeper into action recognition: A survey
Herath, S., Harandi, M. T., & Porikli, F. (2017) · Image and Vision Computing · doi:10.1016/j.imavis.2017.01.010 · Cited by 646 · see citing works
Reliable feature matching across widely separated views
Baumberg, A. (2002) · 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.2000.855899 · Cited by 629 · see citing works
CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching
Agrawal, M., Konolige, K., & Blas, M. R. (2008) · European Conference on Computer Vision · doi:10.1007/978-3-540-88693-8_8 · Cited by 191 · see citing works
Matching Widely Separated Views Based on Affine Invariant Regions
Tuytelaars, T., & Gool, L. V. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000020671.28016.e8 · Cited by 616 · see citing works
A Review on Challenges of Autonomous Mobile Robot and Sensor Fusion Methods
Alatise, M. B., & Hancke, G. P. (2020) · IEEE Access · doi:10.1109/access.2020.2975643 · Cited by 629 · see citing works
Javier Galbally, A., Marcel, S., & Fiérrez, J. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2292332 · Cited by 611 · see citing works
Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera
Huang, A. S., Bachrach, A., Henry, P., Krainin, M., Maturana, D., Fox, D., & Roy, N. (2016) · Springer tracts in advanced robotics · doi:10.1007/978-3-319-29363-9_14 · Cited by 607 · see citing works
3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey
Guo, Y., Bennamoun, M., Sohel, F. A., Lu, M., & Wan, J. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2316828 · Cited by 602 · see citing works
Gallego, G., Delbrück, T., Orchard, G., Bartolozzi, C., Taba, B., Censi, A., Leutenegger, S., Davison, A. J., Conradt, J., Daniilidis, K., et al. (2020) · Zurich Open Repository and Archive (University of Zurich) · doi:10.3929/ethz-b-000521357 · Cited by 590 · see citing works
Pollefeys, M., Koch, R., & Gool, L. V. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1998.710705 · Cited by 577 · see citing works
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
Sun, K., Mohta, K., Pfrommer, B., Watterson, M., Liu, S., Mulgaonkar, Y., Taylor, C. J., & Kumar, V. R. (2018) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2793349 · Cited by 542 · see citing works
A review of multimodal image matching: Methods and applications
Jiang, X., Ma, J.-Y., Xiao, G.-B., Shao, Z.-F., & Guo, X.-J. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.02.012 · Cited by 476 · see citing works
Simultaneous localization and map-building using active vision
Davison, A. J., & Murray, D. W. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017615 · Cited by 531 · see citing works
Monocular Model-Based 3D Tracking of Rigid Objects: A Survey
Lepetit, V., & Fua, P. (2005) · now publishers, Inc. eBooks · doi:10.1561/9781933019536 · Cited by 536 · see citing works
Transforms and Operators for Directional Bioimage Analysis: A Survey
Püspöki, Z., Storath, M., Sage, D., & Unser, M. A. (2016) · Advances in anatomy, embryology and cell biology · doi:10.1007/978-3-319-28549-8_3 · Cited by 518 · see citing works
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
Bai, X., Luo, Z., Zhou, L., Fu, H., Quan, L., & Tai, C. (2020) · 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/cvpr42600.2020.00639 · Cited by 526 · see citing works
Semi-dense Visual Odometry for a Monocular Camera
Engel, J. J., Sturm, J., & Cremers, D. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.183 · Cited by 521 · see citing works
Convolutional Neural Network Architecture for Geometric Matching
Rocco, I., Arandjelović, R., & Šivic, J. (2017) · 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.2017.12 · Cited by 530 · see citing works
IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning
Riesen, K., & Horst Bunke, A. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-89689-0_33 · Cited by 517 · see citing works
- Authors
- Harris, C., & Stephens, M.
- ORCID
- Harris, C.
- Venue
- Procedings of the Alvey Vision Conference 1988
- Publisher
- Alvey Vision Club
- Published
- 1988
- Pages
- 23.1-23.6
- OpenAlex
- W2111308925
- Cited by
- 12,901
- References
- 6
- Citations by year
- 2026: 72 · 2025: 254 · 2024: 364 · 2023: 436 · 2022: 448 · 2021: 505 · 2020: 508 · 2019: 578 · 2018: 616 · 2017: 668 · 2016: 636 · 2015: 741 · 2014: 745 · 2013: 740 · 2012: 732
- FWCI
- 16.29
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Alvey Vision Conference (AVC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Object Detection Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Keywords
- corner detection, edge detection, feature tracking, texture regions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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