Most cited papers in Image and Object Detection Techniques
What are the most cited papers in Image and Object Detection Techniques?
The most cited paper in Image and Object Detection Techniques is "Distinctive Image Features from Scale-Invariant Keypoints" (David G. Lowe, 2004), with 56,041 citations. Next come "A Computational Approach to Edge Detection" (29,563) and "A method for registration of 3-D shapes" (18,308).
Showing 50 of 99 papers. Every paper with more than 838 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe · International Journal of Computer Vision | 2 Jun 2004 | 56,041 |
| 2 | A Computational Approach to Edge Detection John Canny · IEEE Transactions on Pattern Analysis and Machine Intelligence | Nov 1986 | 29,563 |
| 3 | A method for registration of 3-D shapes Paul J. Besl, Neil David McKay · IEEE Transactions on Pattern Analysis and Machine Intelligence | Feb 1992 | 18,308 |
| 4 | Object recognition from local scale-invariant features David G. Lowe | 1999 | 16,396 |
| 5 | Active Shape Models-Their Training and Application Tim F. Cootes, Chris Taylor, David H. Cooper et al. · Computer Vision and Image Understanding | 1995 | 7,230 |
| 6 | Use of the Hough transformation to detect lines and curves in pictures Richard O. Duda, Peter E. Hart · Communications of the ACM | 1972 | 6,653 |
| 7 | Geodesic Active Contours Vicent Caselles, Ron Kimmel, Guillermo Sapiro · International Journal of Computer Vision | Feb 1997 | 5,275 |
| 8 | Principal warps: thin-plate splines and the decomposition of deformations Fred L. Bookstein · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jun 1989 | 4,986 |
| 9 | Survey over image thresholding techniques and quantitative performance evaluation B. Sankur · Journal of Electronic Imaging | 2004 | 4,612 |
| 10 | Generalizing the Hough transform to detect arbitrary shapes D.H. Ballard · Pattern Recognition | 1981 | 4,400 |
| 11 | On the Statistical Analysis of Dirty Pictures Julian E. Besag · Journal of the Royal Statistical Society Series B (Statistical Methodology) | Jul 1986 | 4,240 |
| 12 | Least-Squares Fitting of Two 3-D Point Sets K.S. Arun, Thomas S. Huang, Steven D. Blostein · IEEE Transactions on Pattern Analysis and Machine Intelligence | Sep 1987 | 3,997 |
| 13 | A new method for gray-level picture thresholding using the entropy of the histogram J. N. Kapur, Prasanna K. Sahoo, Andrew K. C. Wong · Computer Vision Graphics and Image Processing | Mar 1985 | 3,685 |
| 14 | SUSAN—A New Approach to Low Level Image Processing Stephen M. Smith, J. Michael Brady · International Journal of Computer Vision | May 1997 | 3,370 |
| 15 | EPnP: An Accurate O(n) Solution to the PnP Problem Vincent Lepetit, Francesc Moreno-Noguer, Pascal Fua · International Journal of Computer Vision | 18 Jul 2008 | 3,305 |
| 16 | A survey of medical image registration J. B. Antoine Maintz, Max A. Viergever · Medical Image Analysis | Mar 1998 | 3,227 |
| 17 | Holistically-Nested Edge Detection Saining Xie, Zhuowen Tu | Dec 2015 | 3,209 |
| 18 | Seeded region growing R. Adams, Leanne Bischof · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jun 1994 | 3,149 |
| 19 | Multiple view geometry in computer vision Hans Opower · Optics and Lasers in Engineering | 2002 | 3,050 |
| 20 | Mutual-information-based registration of medical images: a survey Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever · IEEE Transactions on Medical Imaging | 29 Jul 2003 | 2,909 |
| 21 | Direct least square fitting of ellipses Andrew W Fitzgibbon, Maurizio Pilu, Robert Bob Fisher · IEEE Transactions on Pattern Analysis and Machine Intelligence | May 1999 | 2,768 |
| 22 | Image Analysis Using Mathematical Morphology Robert M. Haralick, Stanley R. Sternberg, Xinhua Zhuang · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jul 1987 | 2,733 |
| 23 | A survey of thresholding techniques Prasanna K. Sahoo, Soheil Soltani, Alexander K.C. Wong · Computer Vision Graphics and Image Processing | Feb 1988 | 2,670 |
| 24 | Method for registration of 3-D shapes Paul J. Besl, Neil David McKay · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE | 30 Apr 1992 | 2,430 |
| 25 | MLESAC: A New Robust Estimator with Application to Estimating Image Geometry Philip H. S. Torr, A. Zisserman · Computer Vision and Image Understanding | Apr 2000 | 2,427 |
| 26 | Iterative point matching for registration of free-form curves and surfaces Zhengyou Zhang · International Journal of Computer Vision | Oct 1994 | 2,416 |
| 27 | Current Methods in Medical Image Segmentation Dzung L. Pham, Chenyang Xu, Jerry L. Prince · Annual Review of Biomedical Engineering | Aug 2000 | 2,349 |
| 28 | On active contour models and balloons Laurent D. Cohen · CVGIP Image Understanding | Mar 1991 | 2,153 |
| 29 | A survey of the hough transform John Illingworth, Josef Kittler · Computer Vision Graphics and Image Processing | Oct 1988 | 2,134 |
| 30 | Efficient RANSAC for Point‐Cloud Shape Detection Ruwen Schnabel, Roland Wahl, Reinhard Klein · Computer Graphics Forum | 21 May 2007 | 2,108 |
| 31 | A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures Hiroshi Akima · Journal of the ACM | Oct 1970 | 2,093 |
| 32 | LSD: A Fast Line Segment Detector with a False Detection Control Rafael Grompone von Gioi, Jérémie Jakubowicz, Jean‐Michel Morel et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 14 Jan 2009 | 1,978 |
| 33 | Graph Cuts and Efficient N-D Image Segmentation Yuri Boykov, Gareth Funka-Lea · International Journal of Computer Vision | 23 Jul 2006 | 1,926 |
| 34 | Elliptic Fourier features of a closed contour Frank P. Kuhl, Charles R. Giardina · Computer Graphics and Image Processing | Mar 1982 | 1,880 |
| 35 | Fourier Descriptors for Plane Closed Curves Charles T. Zahn, Ralph Z. Roskies · IEEE Transactions on Computers | Mar 1972 | 1,877 |
| 36 | An FFT-based technique for translation, rotation, and scale-invariant image registration B.S.B. Reddy, Β.N. Chatterji · IEEE Transactions on Image Processing | Aug 1996 | 1,870 |
| 37 | AprilTag: A robust and flexible visual fiducial system Edwin Olson | May 2011 | 1,784 |
| 38 | Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters Charles T. Zahn · IEEE Transactions on Computers | 1971 | 1,773 |
| 39 | Real-time simultaneous localisation and mapping with a single camera Davison | 2003 | 1,743 |
| 40 | In defense of the eight-point algorithm Richard I. Hartley · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jun 1997 | 1,639 |
| 41 | Learning to compare image patches via convolutional neural networks Sergey Zagoruyko, Nikos Komodakis | Jun 2015 | 1,453 |
| 42 | EULDPH: A new technique for making computer-assisted depth estimates from magnetic data Don T. Thompson · Geophysics | 1982 | 1,443 |
| 43 | An unbiased detector of curvilinear structures Carsten T. Steger · IEEE Transactions on Pattern Analysis and Machine Intelligence | 1998 | 1,433 |
| 44 | Robust Subspace Segmentation by Low-Rank Representation Guangcan Liu, Zhouchen Lin, Yong Hai Yu | 21 Jun 2010 | 1,429 |
| 45 | The Watershed Transform: Definitions, Algorithms and Parallelization Strategies Jos B. T. M. Roerdink, Arnold Meijster · Fundamenta Informaticae | 2000 | 1,395 |
| 46 | An Affine Invariant Interest Point Detector Krystian Mikolajczyk, Cordelia Schmid · Lecture notes in computer science | 2002 | 1,318 |
| 47 | Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields Fayao Liu, Chunhua Shen, Guosheng Lin et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 3 Dec 2015 | 1,303 |
| 48 | Feature extraction methods for character recognition-A survey Øivind Due Trier, Anil Kumar Jain, Torfinn Taxt · Pattern Recognition | Apr 1996 | 1,264 |
| 49 | 3D Bounding Box Estimation Using Deep Learning and Geometry Arsalan Mousavian, Dragomir Anguelov, John P. Flynn et al. | Jul 2017 | 1,210 |
| 50 | A survey on image segmentation K. S. Fu, Jack K. Mui · Pattern Recognition | 1981 | 1,201 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.