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Most cited papers in Image Processing and 3D Reconstruction

Image Processing and 3D Reconstruction

What are the most cited papers in Image Processing and 3D Reconstruction?

The most cited paper in Image Processing and 3D Reconstruction is "Gradient-based learning applied to document recognition" (Yann LeCun, Léon Bottou, Yoshua Bengio et al., 1998), with 59,921 citations. Next come "A method for registration of 3-D shapes" (18,308) and "Bayesian Analysis of Radiocarbon Dates" (8,832).

Showing 50 of 99 papers. Every paper with more than 620 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Gradient-based learning applied to document recognition Yann LeCun, Léon Bottou, Yoshua Bengio et al. · Proceedings of the IEEE Open access 1998 59,921
2 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
3 Bayesian Analysis of Radiocarbon Dates Christopher Bronk Ramsey · Radiocarbon Open access 2009 8,832
4 Active Shape Models-Their Training and Application Tim F. Cootes, Chris Taylor, David H. Cooper et al. · Computer Vision and Image Understanding Open access 1995 7,230
5 Shape matching and object recognition using shape contexts Serge Belongie, Jitendra Malik, Jan Puzicha · IEEE Transactions on Pattern Analysis and Machine Intelligence Apr 2002 6,358
6 SoilGrids250m: Global gridded soil information based on machine learning Tomislav Hengl, Jorge Mendes de Jesus, G.B.M. Heuvelink et al. · PLoS ONE Open access 16 Feb 2017 4,890
7 Flexible paleoclimate age-depth models using an autoregressive gamma process Maarten Blaauw, J. Andrés Christen · Bayesian Analysis Open access Sep 2011 3,925
8 Pattern classification and scene analysis Y.P. Chien · IEEE Transactions on Automatic Control Aug 1974 3,413
9 Multi-view Convolutional Neural Networks for 3D Shape Recognition Hang Su, Subhransu Maji, Evangelos Kalogerakis et al. Conference paper Dec 2015 3,408
10 An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition Baoguang Shi, Xiang Bai, Cong Yao · IEEE Transactions on Pattern Analysis and Machine Intelligence 29 Dec 2016 3,258
11 Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles Mehdi Noroozi, Paolo Favaro · Lecture notes in computer science Conference paper 2016 2,823
12 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
13 Statistical shape analysis: clustering, learning, and testing Anuj Srivastava, S. K. Joshi, Washington Mio et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence 7 Mar 2005 2,760
14 Using spin images for efficient object recognition in cluttered 3D scenes Andrew Johnson, Martial Hebert · IEEE Transactions on Pattern Analysis and Machine Intelligence May 1999 2,653
15 Online and off-line handwriting recognition: a comprehensive survey Réjean Plamondon, Sargur N. Srihari · IEEE Transactions on Pattern Analysis and Machine Intelligence 2000 2,506
16 An Overview of the Tesseract OCR Engine Ray Winfield Smith · Proceedings of the International Conference on Document Analysis and Recognition Conference paper Sep 2007 2,380
17 SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK Jane M. Bromley, JAMES W. BENTZ, Léon Bottou et al. · Series in machine perception and artificial intelligence Book chapter 1994 2,233
18 Topology matching for fully automatic similarity estimation of 3D shapes Masaki Hilaga, Yoshihisa Shinagawa, Taku Kohmura et al. Conference paper Aug 2001 2,211
19 A survey of the hough transform John Illingworth, Josef Kittler · Computer Vision Graphics and Image Processing Oct 1988 2,134
20 Efficient RANSAC for Point‐Cloud Shape Detection Ruwen Schnabel, Roland Wahl, Reinhard Klein · Computer Graphics Forum 21 May 2007 2,108
21 The PASCAL visual object classes challenge 2006 (VOC2006) results Mark Everingham, Andrew Zisserman, Christopher K. I. Williams et al. 2006 2,085
22 Development of the Radiocarbon Calibration Program Christopher Bronk Ramsey · Radiocarbon Open access 2001 2,033
23 MeshLab: an Open-Source Mesh Processing Tool Paolo Cignoni, Marco Callieri, Massimiliano Corsini et al. · ISTI Open Portal Conference paperOpen access 2008 1,980
24 Reconstruction and representation of 3D objects with radial basis functions J. C. Carr, Rick K. Beatson, J. B. Cherrie et al. Conference paper Aug 2001 1,873
25 Deposition models for chronological records Christopher Bronk Ramsey · Quaternary Science Reviews 2008 1,848
26 Fractal-Based Description of Natural Scenes Alex Pentland · IEEE Transactions on Pattern Analysis and Machine Intelligence Nov 1984 1,801
27 Shape distributions Robert Osada, Thomas A. Funkhouser, Bernard Chazelle et al. · ACM Transactions on Graphics Oct 2002 1,670
28 A Comparative Study of Texture Measures for Terrain Classification Joan S. Weszka, Charles R. Dyer, Azriel Rosenfeld · IEEE Transactions on Systems Man and Cybernetics 1976 1,527
29 Terrain Analysis: Principles and Applications Thomas H. Meyer · Ecological Engineering Oct 2001 1,482
30 A Concise and Provably Informative Multi‐Scale Signature Based on Heat Diffusion Jian Zhong Sun, Maks Ovsjanikov, Leonidas Guibas · Computer Graphics Forum Jul 2009 1,473
31 The princeton shape benchmark Philip Shilane, P. Min, Misha Kazhdan et al. Conference paper 12 Nov 2004 1,436
32 Performance evaluation of texture measures with classification based on Kullback discrimination of distributions Timo Ojala, Matti Pietikäinen, David Harwood Conference paper 17 Dec 2002 1,397
33 Fast texture synthesis using tree-structured vector quantization Li‐Yi Wei, Marc Levoy Conference paper 2000 1,365
34 Parts of recognition Donald D. Hoffman, Whitman A. Richards · Cognition Dec 1984 1,351
35 A scalable active framework for region annotation in 3D shape collections Li Yi, Vladimir Grigoryevich Kim, Duygu Ceylan et al. · ACM Transactions on Graphics 11 Nov 2016 1,320
36 Shape Quantization and Recognition with Randomized Trees Yali Amit, Donald Geman · Neural Computation Oct 1997 1,296
37 Rotation invariant spherical harmonic representation of 3D shape descriptors Michael Kazhdan, Thomas A. Funkhouser, Szymon M. Rusinkiewicz 23 Jun 2003 1,232
38 A Statistical Approach to Texture Classification from Single Images Manik Varma, Andrew Zisserman · International Journal of Computer Vision 28 Feb 2005 1,152
39 Freeze-Etching Nomenclature Daniel Branton, STANLEY BULLIVANT, Norton B. Gilula et al. · Science 3 Oct 1975 1,143
40 Summed-area tables for texture mapping Franklin C. Crow Conference paper 1984 1,139
41 A sparse texture representation using local affine regions Svetlana Lazebnik, C. Schmid, Jean Ponce · IEEE Transactions on Pattern Analysis and Machine Intelligence Open access 22 Jun 2005 1,134
42 Reverse engineering of geometric models—an introduction Tamás Várady, Ralph R. Martin, Jordan J. Cox · Computer-Aided Design Apr 1997 1,116
43 Character Region Awareness for Text Detection Youngmin Baek, Bado Lee, Dongyoon Han et al. Conference paper Jun 2019 1,104
44 Neighborhood rough set based heterogeneous feature subset selection Qinghua Hu, Daren Yu, Jinfu Liu et al. · Information Sciences 29 May 2008 1,091
45 Shape Classification Using the Inner-Distance Haibin Ling, David W. C. Jacobs · IEEE Transactions on Pattern Analysis and Machine Intelligence 5 Jan 2007 1,078
46 Deep, Big, Simple Neural Nets for Handwritten Digit Recognition Dan Claudiu Cireşan, Ueli Meier, Luca Maria Gambardella et al. · Neural Computation Open access 21 Sep 2010 1,078
47 Shape Discrimination Using Fourier Descriptors E. Persoon, King‐Sun Fu · IEEE Transactions on Systems Man and Cybernetics 1977 1,076
48 Deep Closest Point: Learning Representations for Point Cloud Registration Yue Wang, Justin Solomon Conference paper Oct 2019 1,071
49 Fast Global Registration Qian-Yi Zhou, Jaesik Park, Vladlen Koltun · Lecture notes in computer science Conference paper 2016 1,069
50 A new curve detection method: Randomized Hough transform (RHT) Lei Xu, Erkki Oja, Pekka Kultanen · Pattern Recognition Letters May 1990 1,026

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.