Robust Wide Baseline Stereo from Maximally Stable Extremal Regions
Abstract
Abstract The wide-baseline stereo problem, i.e. the problem of establishing correspondences between a pair of images taken from different viewpoints is studied. A new set of image elements that are put into correspondence, the so called extremal regions , is introduced. Extremal regions possess highly desirable properties: the set is closed under (1) continuous (and thus projective) transformation of image coordinates and (2) monotonic transformation of image intensities. An efficient (near linear complexity) and practically fast detection algorithm (near frame rate) is presented for an affinely invariant stable subset of extremal regions, the maximally stable extremal regions (MSER). A new robust similarity measure for establishing tentative correspondences is proposed. The robustness ensures that invariants from multiple measurement regions (regions obtained by invariant constructions from extremal regions), some that are significantly larger (and hence discriminative) than the MSERs, may be used to establish tentative correspondences. The high utility of MSERs, multiple measurement regions and the robust metric is demonstrated in wide-baseline experiments on image pairs from both indoor and outdoor scenes. Significant change of scale (3.5×), illumination conditions, out-of-plane rotation, occlusion, locally anisotropic scale change and 3D translation of the viewpoint are all present in the test problems. Good estimates of epipolar geometry (average distance from corresponding points to the epipolar line below 0.09 of the inter-pixel distance) are obtained.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070 · see citing works
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 · see citing works
Watersheds in digital spaces: an efficient algorithm based on immersion simulations
Vincent, L. M., & Soille, P. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.87344 · Cited by 5,663 · 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
Indexing based on scale invariant interest points
Mikolajczyk, K., & Schmid, C. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937561 · Cited by 1,101 · see citing works
In defence of the 8-point algorithm
Hartley, R. I. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1995.466816 · Cited by 648 · 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
Pritchett, P., & Zisserman, A. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1998.710802 · Cited by 279 · see citing works
Hummel, J. E. (1998) · Cited by 198 · see citing works
Viewpoint invariant texture matching and wide baseline stereo
Schaffalitzky, F., & Zisserman, A. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2001.937686 · Cited by 193 · see citing works
Content-Based Image Retrieval Based on Local Affinely Invariant Regions
Tuytelaars, T., & Gool, L. V. (1999) · Lecture notes in computer science · doi:10.1007/3-540-48762-x_61 · Cited by 189 · see citing works
Robust Parameterization and Computation of the Trifocal Tensor
Torr, P. H. S., & Zisserman, A. (1996) · British Machine Vision Conference (BMVC) · doi:10.5244/c.10.61 · Cited by 183 · see citing works
Matching images with different resolutions
Dufournaud, Y., Schmid, C., & Horaud, R. (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.2000.855876 · Cited by 141 · see citing works
Recognizing color patterns irrespective of viewpoint and illumination
Mindru, F., Moons, T., & Gool, L. V. (2003) · 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.1999.786965 · Cited by 99 · see citing works
Wide Baseline Point Matching Using Affine Invariants Computed from Intensity Profiles
Tell, D., & Carlsson, S. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45054-8_53 · Cited by 95 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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
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
Video Google: a text retrieval approach to object matching in videos
Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367 · 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
Self-citationVedaldi, A., & Fulkerson, B. (2010) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1873951.1874249 · Cited by 2,675 · see citing works
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
Jegou, H., Douze, M., & Schmid, C. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-88682-2_24 · Cited by 1,901 · 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
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
Reading text in the wild with convolutional neural networks
Jaderberg, M., Simonyan, K., Vedaldi, A., & Zisserman, A. (2016) · International Journal of Computer Vision · doi:10.1007/s11263-015-0823-z · Cited by 1,191 · 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
Image‐based 3D Modelling: A Review
Fabio Remondino, A., & El-Hakim, S. F. (2006) · The Photogrammetric Record · doi:10.1111/j.1477-9730.2006.00383.x · Cited by 1,045 · 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
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
Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
Cheng, J., Huang, W., Cao, S., Yang, R., Yang, W., Yun, Z., Wang, Z., & Feng, Q. (2015) · PLOS ONE · doi:10.1371/journal.pone.0140381 · Cited by 879 · see citing works
Chum, O., Matas, J., & Kittler, J. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-45243-0_31 · Cited by 866 · see citing works
Self-citationDiscriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
Dosovitskiy, A., Fischer, P., Springenberg, J. T., Riedmiller, M., & Brox, T. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2496141 · Cited by 762 · see citing works
Improving Bag-of-Features for Large Scale Image Search
Jeǵou, H., Douze, M., & Schmid, C. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-009-0285-2 · Cited by 736 · see citing works
Keypoint recognition using randomized trees
Lepetit, V., & Fua, P. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.188 · Cited by 681 · see citing works
Deep Features for Text Spotting
Jaderberg, M., Vedaldi, A., & Zisserman, A. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10593-2_34 · Cited by 653 · see citing works
Robust Text Detection in Natural Scene Images
Yin, X.-C., Yin, X., Huang, K., & Hao, H. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.182 · Cited by 635 · see citing works
Efficient Visual Search of Videos Cast as Text Retrieval
Sivic, J., & Zisserman, A. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.111 · Cited by 499 · see citing works
Reweighted Random Walks for Graph Matching
Cho, M., Lee, J., & Lee, K. M. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15555-0_36 · Cited by 477 · see citing works
Near Duplicate Image Detection: min-Hash and tf-idf Weighting
Chum, O., Philbin, J. F., & Zisserman, A. (2008) · British Machine Vision Conference (BMVC) · doi:10.5244/c.22.50 · Cited by 459 · see citing works
Self-citationA quasi-dense approach to surface reconstruction from uncalibrated images
Lhuillier, M., & Quan, L. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.44 · Cited by 432 · see citing works
An Affine Invariant Salient Region Detector
Kadir, T., Zisserman, A., & Brady, M. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24670-1_18 · Cited by 423 · see citing works
Evaluation of Features Detectors and Descriptors based on 3D Objects
Moreels, P., & Perona, P. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-9967-1 · Cited by 420 · see citing works
Rothganger, F., Lazebnik, S., Schmid, C., & Ponce, J. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-005-3674-1 · Cited by 413 · see citing works
Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking
Gauglitz, S., Höllerer, T., & Turk, M. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-011-0431-5 · Cited by 469 · see citing works
Evaluation of GIST descriptors for web-scale image search
Douze, M., Jeǵou, H., Sandhawalia, H., Amsaleg, L., & Schmid, C. (2009) · ACM International Conference on Image and Video Retrieval (CIVR) · doi:10.1145/1646396.1646421 · Cited by 394 · see citing works
Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening
Jeǵou, H., & Chum, O. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33709-3_55 · Cited by 391 · see citing works
Self-citationRobust Scene Text Detection with Convolution Neural Network Induced MSER Trees
Huang, W., Qiao, Y., & Tang, X. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10593-2_33 · Cited by 383 · see citing works
Image Based Localization in Urban Environments
Zhang, W., & Košecká, J. (2006) · International Symposium on 3D Data Processing, Visualization and Transmission · doi:10.1109/3dpvt.2006.80 · Cited by 377 · see citing works
Adaptive Road Crack Detection System by Pavement Classification
Gavilán, M., Balcones, D., Marcos, O., Llorca, D. F., Sotelo, M. Á., Parra, I., Ocaña, M., Aliseda, P., Yarza, P., & Amírola, A. (2011) · Sensors · doi:10.3390/s111009628 · Cited by 370 · see citing works
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Riba, E., Mishkin, D., Ponsa, D., Rublee, E., & Bradski, G. R. (2020) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv45572.2020.9093363 · Cited by 352 · see citing works
50 Years of object recognition: Directions forward
Andreopoulos, A., & Tsotsos, J. K. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.04.005 · Cited by 347 · see citing works
Sikuli: using GUI screenshots for search and automation
Yeh, T., Chang, T.-H., & Miller, R. C. (2009) · Proceedings of the 22nd annual ACM symposium on User interface software and technology · doi:10.1145/1622176.1622213 · Cited by 346 · see citing works
A Unified Framework for Multioriented Text Detection and Recognition
Yao, C., Bai, X., & Liu, W. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2353813 · Cited by 339 · see citing works
Kernelized Locality-Sensitive Hashing
Kulis, B., & Grauman, K. L. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.219 · Cited by 331 · see citing works
Multi-view traffic sign detection, recognition, and 3D localisation
Timofte, R., Zimmermann, K., & Gool, L. V. (2011) · Machine Vision and Applications · doi:10.1007/s00138-011-0391-3 · Cited by 317 · see citing works
Linear Time Maximally Stable Extremal Regions
Nistér, D., & Stewénius, H. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88688-4_14 · Cited by 309 · see citing works
Universal Correspondence NetworkPreprint
Choy, C., Gwak, J., Savarese, S., & Chandraker, M. K. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1606.03558 · Cited by 300 · see citing works
Performance evaluation of local colour invariants
Burghouts, G. J., & Geusebroek, J. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2008.07.003 · Cited by 297 · see citing works
MSLD: A robust descriptor for line matching
Wang, Z., Wu, F., & Hu, Z. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2008.08.035 · Cited by 296 · see citing works
Symmetry-driven accumulation of local features for human characterization and re-identification
Bazzani, L., Cristani, M., & Murino, V. (2012) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2012.10.008 · Cited by 295 · see citing works
Viewpoint Invariant Texture Description Using Fractal Analysis
Xu, Y., Ji, H., & Fermuller, C. M. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-009-0220-6 · Cited by 294 · see citing works
Girod, B., Chandrasekhar, V., Chen, D. M., Cheung, N. M., Grzeszczuk, R., Reznik, Y. A., Gabriel Takacs, A., Tsai, S. S., & Vedantham, R. (2011) · IEEE Signal Processing Magazine · doi:10.1109/msp.2011.940881 · Cited by 290 · see citing works
On the use of depth camera for 3D phenotyping of entire plants
Chéné, Y., Rousseau, D., Lucidarme, P., Bertheloot, J., Caffier, V., Morel, P., Belin, É., & Chapeau‐Blondeau, F. (2012) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2011.12.007 · Cited by 290 · see citing works
A comprehensive review of current local features for computer vision
Li, J., & Allinson, N. M. (2008) · Neurocomputing · doi:10.1016/j.neucom.2007.11.032 · Cited by 282 · see citing works
Deseilligny, M. P., & Cléry, I. (2012) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprsarchives-xxxviii-5-w16-269-2011 · Cited by 269 · see citing works
World-scale mining of objects and events from community photo collections
Quack, T., Leibe, B., & Gool, L. V. (2008) · ACM International Conference on Image and Video Retrieval (CIVR) · doi:10.1145/1386352.1386363 · Cited by 259 · see citing works
Fast Similarity Search for Learned Metrics
Kulis, B., Jain, P., & Grauman, K. L. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.151 · Cited by 258 · see citing works
Learning Shape-Aware Embedding for Scene Text Detection
Tian, Z., Shu, M., Lyu, P., Li, R., Zhou, C., Shen, X., & Jia, J. (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.2019.00436 · Cited by 251 · see citing works
Lu, Z., Carneiro, G., & Bradley, A. P. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2389619 · Cited by 247 · see citing works
Moment invariants for recognition under changing viewpoint and illumination
Mindru, F., Tuytelaars, T., Gool, L. V., & Moons, T. (2003) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2003.10.011 · Cited by 246 · see citing works
Graph-Based Compression of Dynamic 3D Point Cloud Sequences
Thanou, D., Chou, P. A., & Pascal Frossard, B. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2529506 · Cited by 244 · see citing works
Action Recognition in Realistic Sports Videos
Soomro, K., & Zamir, A. (2014) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-319-09396-3_9 · Cited by 243 · see citing works
Spatial coding for large scale partial-duplicate web image search
Zhou, W., Lu, Y., Li, H., Song, Y., & Tian, Q. C. (2010) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1873951.1874019 · Cited by 243 · see citing works
Real-Time Brazilian License Plate Detection and Recognition Using Deep Convolutional Neural Networks
Silva, S. M., & Jung, C. R. (2017) · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) · doi:10.1109/sibgrapi.2017.14 · Cited by 241 · see citing works
Towards Multi-View Object Class Detection
Thomas, A., Ferrar, V., Leibe, B., Tuytelaars, T., Schiel, B., & Gool, L. V. (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.2006.311 · Cited by 228 · see citing works
Image Features Detection, Description and Matching
Hassaballah, M., Abdelmgeid, A., & Alshazly, H. A. (2016) · Studies in computational intelligence · doi:10.1007/978-3-319-28854-3_2 · Cited by 225 · see citing works
Learning to Track and Identify Players from Broadcast Sports Videos
Lu, W.-L., Ting, J. A. S., Little, J. J., & Murphy, K. P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.242 · Cited by 224 · see citing works
Semi-Local Affine Parts for Object Recognition
Lazebnik, S., Schmid, C., & Ponce, J. (2004) · British Machine Vision Conference (BMVC) · doi:10.5244/c.18.98 · Cited by 223 · see citing works
Detecting Loop Closure with Scene Sequences
Ho, K. L., & Newman, P. M. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-0020-1 · Cited by 211 · see citing works
Video Google: Efficient Visual Search of Videos
Šivic, J., & Zisserman, A. (2006) · Lecture notes in computer science · doi:10.1007/11957959_7 · Cited by 209 · see citing works
Grabner, M., Grabner, H., & Bischof, H. (2006) · Lecture Notes in Computer Science · doi:10.1007/11612032_92 · Cited by 208 · see citing works
Image Matching Using Generalized Scale-Space Interest Points
Lindeberg, T. (2013) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-014-0541-0 · Cited by 222 · see citing works
Fernández-Hernandez, J., González‐Aguilera, D., Rodríguez‐Gonzálvez, P., & Mancera-Taboada, J. (2014) · Archaeometry · doi:10.1111/arcm.12078 · Cited by 207 · see citing works
Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition
Larsson, F., & Felsberg, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21227-7_23 · Cited by 204 · see citing works
Shape Descriptors for Maximally Stable Extremal Regions
Forssén, P.-E., & Lowe, D. G. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409025 · Cited by 202 · see citing works
Topological mapping, localization and navigation using image collections
Fraundorfer, F., Engels, C., & Nistér, D. (2007) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2007.4399123 · Cited by 201 · see citing works
Shape recognition with edge-based features
Mikolajczyk, K., Zisserman, A., & Schmid, C. (2003) · British Machine Vision Conference (BMVC) · doi:10.5244/c.17.79 · Cited by 197 · see citing works
Omnidirectional Vision Based Topological Navigation
Goedemé, T., Nuttin, M., Tuytelaars, T., & Gool, L. V. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-0025-9 · Cited by 197 · see citing works
Text Detection, Tracking and Recognition in Video: A Comprehensive Survey
Yin, X.-C., Zuo, Z.-Y., Tian, S., & Liu, C. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2554321 · Cited by 197 · see citing works
Kniaz, V. V., Knyaz, V. A., Hladůvka, J., Kropatsch, W. G., & Mizginov, V. A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-11024-6_46 · Cited by 188 · see citing works
Discovering Texture Regularity as a Higher-Order Correspondence Problem
Hays, J. H., Leordeanu, M., Efros, A. A., & Liu, Y. (2006) · Lecture notes in computer science · doi:10.1007/11744047_40 · Cited by 184 · see citing works
Hyper-graph matching via reweighted random walks
Lee, J., Cho, M., & Lee, K. M. (2011) · 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.2011.5995387 · Cited by 183 · see citing works
Domain-size pooling in local descriptors: DSP-SIFT
Dong, J., & Soatto, S. (2015) · 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.2015.7299145 · Cited by 182 · see citing works
Geotagging in multimedia and computer vision—a survey
Luo, J., Joshi, D., Yu, J., & Gallagher, A. (2010) · Multimedia Tools and Applications · doi:10.1007/s11042-010-0623-y · Cited by 182 · see citing works
Efficient View-Based SLAM Using Visual Loop Closures
Mahon, I., Williams, S. B., Pizarro, O. R., & Johnson‐Roberson, M. (2008) · IEEE Transactions on Robotics · doi:10.1109/tro.2008.2004888 · Cited by 182 · see citing works
A comparative evaluation of interest point detectors and local descriptors for visual SLAM
Gil, A., Mozos, Ó. M., Ballesta, M., & Reinoso, Ó. (2009) · Machine Vision and Applications · doi:10.1007/s00138-009-0195-x · Cited by 178 · see citing works
Vision-based topological mapping and localization methods: A survey
Garcia-Fidalgo, E., & Ortiz, A. (2015) · Robotics Auton. Syst. · doi:10.1016/j.robot.2014.11.009 · Cited by 185 · see citing works
3D model matching with Viewpoint-Invariant Patches (VIP)
Wu, C., Clipp, B., Li, X., Frahm, J., & Pollefeys, M. (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.2008.4587501 · Cited by 176 · see citing works
Scale Invariant Feature Transform on the Sphere: Theory and Applications
Cruz, J., Bogdanova, I., Paquier, B., Bierlaire, M., & Thiran, J. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-011-0505-4 · Cited by 176 · see citing works
Feature-Based Sequence-to-Sequence Matching
Caspi, Y., Simakov, D., & Irani, M. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-005-4842-z · Cited by 173 · see citing works
High-level event recognition in unconstrained videos
Jiang, Y., Bhattacharya, S., Chang, S., & Shah, M. A. (2012) · International Journal of Multimedia Information Retrieval · doi:10.1007/s13735-012-0024-2 · Cited by 172 · see citing works
Rotationally Invariant Descriptors Using Intensity Order Pooling
Fan, B., Wu, F., & Hu, Z. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.277 · Cited by 170 · see citing works
Structure from motion with wide circular field of view cameras
Micusik, B., & Pajdla, T. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.151 · Cited by 170 · see citing works
Self-citationCurious George: An attentive semantic robot
Meger, D., Forssén, P.-E., Lai, K., Helmer, S., McCann, S., Southey, T., Baumann, M., Little, J. J., & Lowe, D. G. (2008) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2008.03.008 · Cited by 166 · see citing works
Real-time license plate detection and recognition using deep convolutional neural networks
Silva, S. M., & Jung, C. R. (2020) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2020.102773 · Cited by 166 · see citing works
SIFT and SURF Performance Evaluation against Various Image Deformations on Benchmark Dataset
Khan, N. Y., Brendan Mccane, A., & Wyvill, G. (2011) · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · doi:10.1109/dicta.2011.90 · Cited by 165 · see citing works
Keyframe-based monocular SLAM: design, survey, and future directions
Younes, G., Asmar, D. C., Shammas, E. A., & Zelek, J. (2016) · Robotics Auton. Syst. · doi:10.1016/j.robot.2017.09.010 · Cited by 168 · see citing works
Describing Visual Scenes Using Transformed Objects and Parts
Sudderth, E. B., Torralba, A. B., Freeman, W. T., & Willsky, A. S. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-007-0069-5 · Cited by 162 · see citing works
MODS: Fast and robust method for two-view matching
Mishkin, D., Matas, J., & Perďoch, M. (2015) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2015.08.005 · Cited by 159 · see citing works
Self-citationSoft-Tissue Motion Tracking and Structure Estimation for Robotic Assisted MIS Procedures
Stoyanov, D. V., Mylonas, G. P., Deligianni, F., Darzi, A. W., & Yang, G. Z. (2005) · Lecture notes in computer science · doi:10.1007/11566489_18 · Cited by 153 · see citing works
Extinction Profiles for the Classification of Remote Sensing Data
Ghamisi, P., de Souza, R. M., Benediktsson, J. A., Zhu, X. X., Rittner, L., & Lotufo, R. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2561842 · Cited by 150 · see citing works
Local velocity-adapted motion events for spatio-temporal recognition
Laptev, I., Barbara Caputo, B., Schüldt, C., & Lindeberg, T. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.11.023 · Cited by 148 · see citing works
A new approach to oil spill detection that combines deep learning with unmanned aerial vehicles
Jiao, Z., Jia, G., & Cai, Y. (2018) · Computers & Industrial Engineering · doi:10.1016/j.cie.2018.11.008 · Cited by 147 · see citing works
- Authors
- Matas, J., Chum, O., Urban, M., & Pajdla, T.
- Affiliations
- University of Surrey (GB)
- Venue
- Procedings of the British Machine Vision Conference 2002
- Publisher
- British Machine Vision Association
- Published
- 2002
- Pages
- 36.1-36.10
- OpenAlex
- W2147237076
- Cited by
- 1,350
- References
- 15
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 11 · 2023: 6 · 2022: 17 · 2021: 23 · 2020: 34 · 2019: 56 · 2018: 61 · 2017: 74 · 2016: 118 · 2015: 125 · 2014: 96 · 2013: 89 · 2012: 82
- FWCI
- 8.63
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- British Machine Vision Conference (BMVC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- wide-baseline stereo, MSER, feature detection, correspondence estimation, affine invariance, projective invariance, epipolar geometry estimation, scale variation, illumination variation, occlusion
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 ›
Are you an author, or do you see a problem with this page? Request a review
