The trimmed iterative closest point algorithm D Chetverikov, D Svirko, D Stepanov, P Krsek 2002 International Conference on Pattern Recognition 3, 545-548, 2002 | 841 | 2002 |
Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm D Chetverikov, D Stepanov, P Krsek Image and vision computing 23 (3), 299-309, 2005 | 623 | 2005 |
A simple and efficient algorithm for detection of high curvature points in planar curves D Chetverikov International Conference on Computer Analysis of Images and Patterns, 746-753, 2003 | 379 | 2003 |
A brief survey of dynamic texture description and recognition D Chetverikov, R Péteri Computer Recognition Systems: Proceedings of the 4th International …, 2005 | 229 | 2005 |
Finding defects in texture using regularity and local orientation D Chetverikov, A Hanbury Pattern Recognition 35 (10), 2165-2180, 2002 | 204 | 2002 |
A survey of specularity removal methods A Artusi, F Banterle, D Chetverikov Computer graphics forum 30 (8), 2208-2230, 2011 | 178 | 2011 |
Dynamic texture recognition using normal flow and texture regularity R Péteri, D Chetverikov Iberian Conference on Pattern Recognition and Image Analysis, 223-230, 2005 | 134 | 2005 |
Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm E Lomonosov, D Chetverikov, A Ekárt Pattern Recognition Letters 27 (11), 1201-1208, 2006 | 129 | 2006 |
Pattern regularity as a visual key D Chetverikov Image and Vision computing 18 (12), 975-985, 2000 | 124 | 2000 |
Feature point tracking for incomplete trajectories D Chetverikov, J Verestóy Computing 62 (4), 321-338, 1999 | 108 | 1999 |
Smotefuna: Synthetic minority over-sampling technique based on furthest neighbour algorithm AS Tarawneh, ABA Hassanat, K Almohammadi, D Chetverikov, ... IEEE Access 8, 59069-59082, 2020 | 78 | 2020 |
Tracking feature points: a new algorithm D Chetverikov, J Verestoy Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998 | 77 | 1998 |
Dynamic texture detection based on motion analysis S Fazekas, T Amiaz, D Chetverikov, N Kiryati International journal of computer vision 82, 48-63, 2009 | 72 | 2009 |
Detecting regions of dynamic texture T Amiaz, S Fazekas, D Chetverikov, N Kiryati Scale Space and Variational Methods in Computer Vision: First International …, 2007 | 63 | 2007 |
Zone classification using texture features D Chetverikov, J Liang, J Komuves, RM Haralick Proceedings of 13th International Conference on Pattern Recognition 3, 676-680, 1996 | 63 | 1996 |
Texture analysis using feature-based pairwise interaction maps D Chetverikov Pattern Recognition 32 (3), 487-502, 1999 | 62 | 1999 |
Analysis and performance evaluation of optical flow features for dynamic texture recognition S Fazekas, D Chetverikov Signal Processing: Image Communication 22 (7-8), 680-691, 2007 | 61 | 2007 |
Detailed investigation of deep features with sparse representation and dimensionality reduction in cbir: A comparative study AS Tarawneh, C Celik, AB Hassanat, D Chetverikov Intelligent Data Analysis 24 (1), 47-68, 2020 | 55 | 2020 |
Normal versus complete flow in dynamic texture recognition: a comparative study S Fazekas, D Chetverikov Int. workshop on texture analysis and synthesis, 37-42, 2005 | 55 | 2005 |
Illumination-robust variational optical flow using cross-correlation J Molnár, D Chetverikov, S Fazekas Computer Vision and Image Understanding 114 (10), 1104-1114, 2010 | 54 | 2010 |