Fast Approximated SIFT

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

Rapid object detection using a boosted cascade of simple features

Viola, P., & Jones, M. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990517 · Cited by 18,300 · 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

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

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 3,683 · 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

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

Robust Wide Baseline Stereo from Maximally Stable Extremal Regions

Matas, J., Chum, O., Urban, M., & Pajdla, T. (2002) · Procedings of the British Machine Vision Conference 2002 · doi:10.5244/c.16.36 · Cited by 1,350 · 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

Recognising panoramas

Brown, & Lowe (2003) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238630 · Cited by 934 · see citing works

Integral histogram: a fast way to extract histograms in Cartesian spaces

Porikli, F. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.188 · Cited by 701 · see citing works

An efficient parts-based near-duplicate and sub-image retrieval system

Ke, Y., Sukthankar, R., & Huston, L. (2004) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1027527.1027729 · Cited by 364 · 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

Local and global localization for mobile robots using visual landmarks

Se, S., Lowe, D. G., & Little, J. J. (2002) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2001.973392 · Cited by 142 · see citing works

Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks

Simard, P., Bottou, L., Haffner, P., et al. (1998) · Cited by 129 · see citing works

Recognising Panoramas

Brown, M. S., & Lowe, D. G. (2003) · International Conference on Computer Vision · Cited by 125 · see citing works

Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features

Zhang, W., Yu, B., Zelinsky, G. J., & Samaras, D. (2005) · 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.2005.251 · Cited by 87 · see citing works

Fast Anisotropic Gauss Filtering

Geusebroek, J., Smeulders, A. W. M., & van de Weijer, J. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47969-4_7 · Cited by 38 · 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

S-AKAZE: An effective point-based method for image matching

Liu, Y., Lan, C., Li, C., Mo, F., & Wang, H. (2016) · Optik · doi:10.1016/j.ijleo.2016.03.072 · Cited by 23 · see citing works

An analysis of scale-space sampling in SIFT

Rey-Otero, I., Morel, J., & Delbracio, M. (2014) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2014.7025982 · Cited by 13 · see citing works

Approximated Scale Space for Efficient and Accurate SIFT Key-Point Detection

Wang, Y., Liu, Y., Xu, Z., et al. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-3-030-30825-4_3 · Cited by 1 · see citing works

Scale-Space SIFT flow

Qiu, W., Wang, X., Bai, X., Yuille, A., & Tu, Z. (2014) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2014.6835734 · Cited by 36 · see citing works

Scale-Space SIFT Flow

Qiu, W., Wang, X., Bai, X., et al. (2015) · Springer eBooks · doi:10.1007/978-3-319-23048-1_4 · Cited by 2 · see citing works