The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
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
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
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
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
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
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
Pritchett, P., & Zisserman, A. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1998.710802 · Cited by 279
Hummel, J. E. (1998) · Cited by 198
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
Flagged first, then by citations
Cited by
Sorted by citations
Items 901–1,000 of 1,000
Waterfront surveillance and trackability
Li, Y., Wei, H., Guo, C.-E., Gu, H., Kang, J., & Chen, X.-R. (2008) · Machine Vision and Applications · doi:10.1007/s00138-008-0157-8 · Cited by 3
Combining MSCR detector and PCA-SIFT descriptor for scene recognition
Shi, D., & Yan, G.-Q. (2010) · International Conference on Advanced Computer Control · doi:10.1109/icacc.2010.5487196 · Cited by 3
Novel MSER-guided street extraction from satellite images
Salahat, E. N., Saleh, H. H., Sluzek, A. S., Mohammad, B. S., Al‐Qutayri, M., & Ismail, M. (2015) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2015.7325945 · Cited by 3
Gestalt interest points for image description in weight-invariant face recognition
Hörhan, M., & Eidenberger, H. (2015) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2178951 · Cited by 3
Support value of Gaussian-based interest point detector
Yang, C., Tao, C., Fu, Y., Tian, J., & Sheng, Z. (2010) · Optical Engineering · doi:10.1117/1.3517746 · Cited by 3
Kim, S., Kwon, S. C., & Kweon, I. S. (2012) · Cognitive Computation · doi:10.1007/s12559-012-9194-8 · Cited by 3
Tree representation of digital picture embeddings
Herman, G. T., Kong, T. Y., & de Oliveira, L. M. (2012) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2012.05.007 · Cited by 3
An Affine Invariant Region Detector Using the 4th Differential Invariant
Cai, H., Lei, L., & Su, Y. (2007) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai.2007.112 · Cited by 3
Object-based Image Retrieval with Attention Analysis and Spatial Re-ranking
Gao, K., Lin, S., Zhang, Y., & Tang, S. (2008) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-0-387-87685-6_16 · Cited by 3
Fast visual word quantization via spatial neighborhood boosting
Xu, R., Shi, M., Geng, B., & Xu, C. (2011) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2011.6011893 · Cited by 3
Multiple Non-rigid Surface Detection and Registration
Wu, Y., Ijiri, Y., & Yang, M. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.249 · Cited by 3
Numismatic Object Identification Using Fusion of Shape and Local Descriptors
Huber-Mörk, R., Zaharieva, M., & Czedik-Eysenberg, H. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-89646-3_36 · Cited by 3
Evolutionary QR-Based Traffic Sign Recognition System for Next-Generation Intelligent Vehicles
Salahat, E. N., Saleh, H. H., Sluzek, A. S., Al‐Qutayri, M., Mohammed, B., & Ismail, M. (2015) · IEEE Vehicular Technology Conference · doi:10.1109/vtcfall.2015.7390939 · Cited by 3
PERFORMANCE EVALUATION OF FEATURE DETECTION FOR LOCAL OPTICAL FLOW TRACKING
Senst, T., Unger, B., Keller, I., & Sikora, T. (2012) · International Conference on Pattern Recognition Applications and Methods · doi:10.5220/0003731103030309 · Cited by 3
Farag, A. A. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139022675.014 · Cited by 3
Automatic control and digital correction of scale and rotation mismatch in stereo pairs
Chafonova, V., Варисовна, Г. И., & Tihomirova, G. V. (2016) · Computer Optics · doi:10.18287/2412-6179-2016-40-1-112-120 · Cited by 3
Omnidirectional Vision Based Topological Navigation
Goedemé, T., & Gool, L. V. (2010) · InTech eBooks · doi:10.5772/8989 · Cited by 3
Interactive Atmospheric Turbulence Mitigation
Kamenetsky, D., Zucchi, M., Nichols, G., Booth, D., & Lambert, A. J. (2016) · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · doi:10.1109/dicta.2016.7797055 · Cited by 3
A Max-Tree Simplification Proposal and Applications for the Interactive Max-Tree Visualization Tool
Tavares, L. A., de Souza, R. M., Rittner, L., Machado, R. C., & Lotufo, R. (2016) · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) · doi:10.1109/sibgrapi.2016.050 · Cited by 3
Tang, J., Ge, Y., & Liu, Y. (2016) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/cesys.2016.7889903 · Cited by 3
A detection and recognition system for Chinese highway traffic panels
Hsieh, S.-J., Chen, K.-H., Chen, D., & Wang, Y. (2017) · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) · doi:10.1109/icce-china.2017.7990992 · Cited by 3
Rizdania, R., & Utaminingrum, F. (2017) · International Conference on Sustainable Information Engineering and Technology (SIET) · doi:10.1109/siet.2017.8304171 · Cited by 3
Document Image Classification on the Basis of Layout Information
Safonov, I. V., Kurilin, I. V., Rychagov, M. N., & Tolstaya, E. V. (2019) · Signals and communication technology · doi:10.1007/978-3-030-05342-0_6 · Cited by 3
Text Region Extraction in High Contrasting Image
Kang, S., Cha, D., Kim, Y., & Han, D. S. (2017) · International Journal of Future Computer and Communication · doi:10.18178/ijfcc.2017.6.3.499 · Cited by 3
A Rotation Invariant Descriptor Using Multi-directional and High-Order Gradients
Mo, H., Li, Q., Hao, Y., Zhang, H., & Li, H. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-03398-9_32 · Cited by 3
A New Retrieval System Based on Low Dynamic Range Expansion and SIFT Descriptor
Khwildi, R., & Zaid, A. O. (2018) · IEEE International Workshop on Multimedia Signal Processing (MMSP) · doi:10.1109/mmsp.2018.8547089 · Cited by 3
A robust object verification algorithm using aligned chamfer history image
Shih, H.-C., & Wang, H.-Y. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7396-8 · Cited by 3
Robust and real‐time lane detection filter based on adaptive neuro‐fuzzy inference system
Küçükmanіşa, A., Akbulut, O., & Urhan, O. (2019) · IET Image Processing · doi:10.1049/iet-ipr.2018.6236 · Cited by 3
Schweigert, A., Blesing, C., & Friedrich, C. M. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-1816-4_8 · Cited by 3
Pakistani Standard Vehicle Plates Recognition using Deep Neural Networks
Rahim, R. U., Aslam, M., Zoolnurain, Khan, M. G., & Basra, I. A. (2021) · doi:10.1109/icai52203.2021.9445199 · Cited by 3
Stereo matching-based definition of saliency via sample-based Kullback–Leibler divergence estimation
Liang, J. S., Maybank, S. J., & Zhang, Y. (2015) · Machine Vision and Applications · doi:10.1007/s00138-015-0685-y · Cited by 3
A Novel Graph-Based Descriptor for Object Matching
Nowak, T., Najgebauer, P., Rygał, J., & Scherer, R. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38658-9_55 · Cited by 3
Retrieval of Multiple Instances of Objects in Videos
Bursuc, A., Zaharia, T. B., & Preteux, F. J. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-27355-1_34 · Cited by 3
Is Multi-model Feature Matching Better for Endoscopic Motion Estimation?
Xiang, X., Mirota, D. J., Reiter, A., & Hager, G. D. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-13410-9_9 · Cited by 3
Leitner, R., & Bischof, H. (2005) · Lecture notes in computer science · doi:10.1007/11550518_46 · Cited by 3
AUTOMATIC SEA BIRD DETECTION FROM HIGH RESOLUTION AERIAL IMAGERY
Mader, S., & Grenzdörffer, G. (2016) · 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/isprs-archives-xli-b7-299-2016 · Cited by 3
Portable 3-D modeling using visual pose tracking
Strobl, K. H., Mair, E., Bodenmüller, T., Kielhöfer, S., Wüsthoff, T., & Suppa, M. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.03.009 · Cited by 3
Forest Species Recognition Based on Ensembles of Classifiers
Martins, J. G., Oliveira, L. S., Sabourin, R., & Britto, A. S. (2018) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai.2018.00065 · Cited by 3
A Novel Region Based Thresholding for Dental Cyst Extraction in Digital Dental X-Ray Images
Devi, R., Banumathi, A., Sangavi, G., & Dawood, M. S. (2020) · Springer eBooks · doi:10.1007/978-3-030-41862-5_167 · Cited by 3
Estimating 3D Flow for Driver Assistance Applications
Sánchez, J., Klette, R., & Destéfanis, E. A. (2009) · Lecture notes in computer science · doi:10.1007/978-3-540-92957-4_21 · Cited by 3
DIRECT-INFO: A Distributed Multimodal Analysis System for Media Monitoring Applications.
Rehatschek, H. E., Diakopoulos, N. A., Kienast, G., Hahn, V., & Declerck, T. (2004) · Cited by 3
Learning 3D Object Recognition from an Unlabelled and Unordered Training Set
Leitner, R. (2007) · Springer eBooks · doi:10.1007/978-3-540-76858-6_62 · Cited by 3
Joint Affine and Illumination Estimation Using Scale Manipulation Features
Bentolila, K., & Francos, J. M. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04146-4_90 · Cited by 3
Sponsorship tracking using distributed multi-modal analysis (DIRECT-INFO)
Kienast, G., Stiegler, H., Werner Bailer, A., Rehatschek, H. E., Busemann, S., & Declerck, T. (2005) · doi:10.1049/ic.2005.0753 · Cited by 3
Evaluation of Feature Detector-Descriptor Using RANSAC for Visual TrackingPreprint
Pareek, A., & Arora, N. R. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3354470 · Cited by 3
Document Image Binarization Technique using MSER
Yu, Y.-J. (2014) · The Journal of the Korean Institute of Information and Communication Engineering · doi:10.6109/jkiice.2014.18.8.1941 · Cited by 2
Fast Exact Nearest Neighbour Matching in High Dimensions Using d -D Sort
Lakemond, R., Fookes, C., & Sridharan, S. (2013) · ISRN Machine Vision · doi:10.1155/2013/405680 · Cited by 2
Spatially consistent partial matching for intra- and inter-image prototype selection
Kosinov, S., Bruno, E., & Marchand‐Maillet, S. (2008) · Signal Processing Image Communication · doi:10.1016/j.image.2008.04.017 · Cited by 2
Multi-order visual phrase for scalable partial-duplicate visual search
Zhang, S. S., Tian, Q., Huang, Q., Gao, W., & Rui, Y. (2014) · Multimedia Systems · doi:10.1007/s00530-014-0369-x · Cited by 2
STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES
Kátai-Urbán, G., Otte, V., Kees, N., Megyesi, Z., & Bixel, P. (2016) · 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/isprs-archives-xli-b3-49-2016 · Cited by 2
Cell segmentation using stable extremal regions in multi-exposure microscopy images
Li, M., & Yin, Z. (2016) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2016.7493323 · Cited by 2
Personalized Annotation for Photos with Visual Instance Search
Truong, B., Phan, T. V., Nguyen, V.-T., & Tran, M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-39513-5_40 · Cited by 2
Improving Traffic Sign Recognition Using Low Dimensional Features
Kurnianggoro, L., Wahyono, W., & Jo, K.-H. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-54430-4_23 · Cited by 2
Davis, J. E., Bednar, A. E., Goodin, C. T., Durst, P. J., Anderson, D. T., & Bethel, C. L. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2262259 · Cited by 2
Enhanced Parallel Generation of Tree Structures for the Recognition of 3D Images
Real, P., Molina‐Abril, H., Díaz-del-Río, F., Blanco-Trejo, S., & Onchiş, D. M. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-21077-9_27 · Cited by 2
Visual perception system for a social robot
Bandera, J. P., Marfil, R., Palomino, A. J., Bandera, A. J., & Vázquez-Martín, R. (2010) · IEEE Conference on Robotics, Automation and Mechatronics (RAM) · doi:10.1109/ramech.2010.5513182 · Cited by 2
The RoboCup Rescue Victim Dataset
Lorenz, P., & Steinbauer, G. (2018) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr.2018.8468605 · Cited by 2
Spontaneous Expression Recognition Based on Visual Attention Mechanism and Co-salient Features
Zhang, L., Ji, Q., Jiang, W., & Ning, D. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-62463-7_26 · Cited by 2
Locomotive number location based on Retinex image enhancement and improved SWT algorithm
Cui, J. (2021) · IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) · doi:10.1109/iaeac50856.2021.9390872 · Cited by 2
Revisiting Unsupervised Local Descriptor Learning
Wang, W., Zhang, L., & Huang, H. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i3.25367 · Cited by 2
New Color Image Histogram-Based Detectors
Rassem, T. H., & Khoo, B. E. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25191-7_15 · Cited by 2
Image Similarities on the Basis of Visual Content – An Attempt to Bridge the Semantic Gap
Kwaśnicka, H., Paradowski, M., Stanek, M., Spytkowski, M., & Sluzek, A. S. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-20039-7_2 · Cited by 2
Mosaicing of Fibered Fluorescence Microscopy Video
Backer, S. D., Cornelissen, F. W., Lemeire, J., Nuydens, R., Meert, T. F., Schelkens, P., & Scheunders, P. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88458-3_83 · Cited by 2
Density‐based region search with arbitrary shape for object localisation
Zhao, J., Meng, D., & Ma, J. (2015) · IET Computer Vision · doi:10.1049/iet-cvi.2014.0442 · Cited by 2
Computer vision-based approach for rite decryption in old societies
Barros, J. M. D., Habed, A., Demonceaux, C., & Mansouri, A. (2015) · Machine Vision Applications · doi:10.1109/mva.2015.7153108 · Cited by 2
Efficient and Scalable 4th-Order Match Propagation
Ok, D., Marlet, R., & Audibert, J.-Y. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-37331-2_35 · Cited by 2
Modelling Human Segmentation Trough Color and Space Analysis
Borràs, A., & Lladós, J. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03767-2_109 · Cited by 2
Mining concise and distinctive affine-stable features for object detection in large corpus
Gao, K., Zhang, Y., Zhang, W., & Lin, S. (2011) · International Journal of Computer Mathematics · doi:10.1080/00207160.2011.583350 · Cited by 2
3D Face Visualization Using Grid Light
Shi, L., Yang, X. S., & Pan, H. (2008) · Computing in Science & Engineering · doi:10.1109/mcse.2008.44 · Cited by 2
Non-rigid Object Tracking as Salient Region Segmentation and Association
Zhao, X., Yu, X., Sun, L., Hu, K., Wang, G., & Zhang, L. (2011) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.e94.d.934 · Cited by 2
Perspective hierarchical dirichlet process for user-tagged image modeling
Chen, X., Hu, X. T., An, Y., Xiong, Z., He, T., & Park, E. K. (2011) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2063576.2063770 · Cited by 2
WITHDRAWN: Video-based descriptors for object recognition
Lee, T., & Soatto, S. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.08.004 · Cited by 2
PPD: A Robust Low-computation Local Descriptor for Mobile Image Retrieval
Liu, C. (2010) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2010.06.007 · Cited by 2
Unsupervised video-based lane detection using location-enhanced topic models
Sun, H., Wang, C., Wang, B., & El-Sheimy, N. (2010) · Optical Engineering · doi:10.1117/1.3490422 · Cited by 2
Quennesson, K., & Dellaert, F. (2006) · International Symposium on 3D Data Processing, Visualization and Transmission · doi:10.1109/3dpvt.2006.112 · Cited by 2
Long-term Trajectory Extraction for Moving Vehicles
Xu, J. J., Ye, G., & Zhang, J. (2007) · IEEE International Workshop on Multimedia Signal Processing (MMSP) · doi:10.1109/mmsp.2007.4412858 · Cited by 2
Object retrieval based on spatially frequent items with informative patches
Gao, K., Lin, S., Guo, J., Zhang, D., Zhang, Y., & Wu, Y. (2008) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2008.4607682 · Cited by 2
Papachristou, C., & Delopoulos, A. N. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.12.004 · Cited by 2
An Evolution of the Non-Parameter Harris Affine Corner Detector: A Distributed Approach
Bellavia, F., Cipolla, M., Tegolo, D., & Valenti, C. F. (2009) · International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) · doi:10.1109/pdcat.2009.45 · Cited by 2
Smochina, C., Rogojanu, R., Manta, V., & Kropatsch, W. G. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24855-9_28 · Cited by 2
Automatic structural matching of 3D image data
Ponomarev, S. V., Lutsiv, V. R., & Malyshev, I. A. (2015) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2194312 · Cited by 2
CCF-Based Awareness in Agent Model ABGP
Shi, Z., Yue, J., Ma, G., & Yang, X. J. (2015) · IFIP advances in information and communication technology · doi:10.1007/978-3-319-25261-2_9 · Cited by 2
The Maximal Self-dissimilarity Interest Point Detector
Tombari, F., & Stefano, L. D. (2015) · IPSJ Transactions on Computer Vision and Applications · doi:10.2197/ipsjtcva.7.175 · Cited by 2
Scene text detection using sequential nontext filtering
Wang, Q., Lu, Y., & Wen, Y. (2015) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2015.7351099 · Cited by 2
A Model for Semantic Medical Image Retrieval Applied in a Medical Social Network
Bouslimi, R., Ayadi, M. G., & Akaichi, J. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-43949-5_9 · Cited by 2
Content-Aware Image Retargeting
Pal, R., & Tripathi, P. C. (2015) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-4666-8723-3.ch005 · Cited by 2
Feature Learning Architecture Taxonomy and Neuroscience Background
Krig, S. (2016) · Springer eBooks · doi:10.1007/978-3-319-33762-3_9 · Cited by 2
STILL IMAGE BASED FOREIGN OBJECT DEBRIS (FOD) DETECTION SYSTEM
Aftab, H., & Minhas, R. S. M. (2014) · Cited by 2
Elboushaki, A., Hannane, R., Afdel, K., & Koutti, L. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.11.004 · Cited by 2
Combination of image descriptors for the exploration of cultural photographic collections
Bhowmik, N., Gouet-Brunet, V., Bloch, G., & Besson, S. (2016) · Journal of Electronic Imaging · doi:10.1117/1.jei.26.1.011019 · Cited by 2
Oblique low-altitude image matching using robust perspective invariant features
He, H., Du, J., Chen, X., & Wang, Y. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2265167 · Cited by 2
Automatic extraction and recognition of shoe logos with a wide variety of appearance
Aoki, K., Ohyama, W., & Wakabayashi, T. (2017) · Machine Vision Applications · doi:10.23919/mva.2017.7986838 · Cited by 2
Scene-Text-Detection Method Robust Against Orientation and Discontiguous Components of Characters
Endo, R., Kawai, Y., Sumiyoshi, H., & Sano, M. (2017) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2017.130 · Cited by 2
SCALE INVARIANT FEATURE TRANSFORM PLUS HUE FEATURE
Daneshvar, M. B. (2017) · 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/isprs-archives-xlii-2-w6-27-2017 · Cited by 2
Massively Parallel Image Index for Vocabulary Tree Based Image Retrieval
Xu, Q., Sun, K., Tao, W., & Liu, L. (2017) · Communications in computer and information science · doi:10.1007/978-981-10-7302-1_9 · Cited by 2
Medical Image Retrieval in Healthcare Social Networks
Bouslimi, R., Ayadi, M. G., & Akaichi, J. (2018) · International Journal of Healthcare Information Systems and Informatics · doi:10.4018/ijhisi.2018040102 · Cited by 2
Invariant image descriptors and affine morphological scale-space
Sur, F. (2007) · Cited by 2
MSER-in-Chip: An Efficient Vision Tool for IoT Devices
Sluzek, A. S., Saleh, H. H., Mohammad, B. S., Al‐Qutayri, M., & Ismail, M. (2018) · Springer eBooks · doi:10.1007/978-3-319-93100-5_14 · Cited by 2
Turk, M., & Hua, G. (2013) · Synthesis lectures on computer vision · doi:10.2200/s00536ed1v01y201309cov005 · Cited by 2
Metadata
- 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
