D. Chetverikov

Imre Lendak, Chaman Verma, Dmitry Chetverikov, 2019, 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT).

Automatic Gamma Correction Based on Root-Mean-Square-Error Maximization

D. Chetverikov, A. Hassanat, A. Tarawneh, 2020, 2020 International Conference on Computing and Information Technology (ICCIT-1441).

Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study

Dmitry Chetverikov, Ahmad B. A. Hassanat, Ahmad S. Tarawneh, 2018, Intell. Data Anal..

Image analysis research and development in hungary

Dmitry Chetverikov, Géza Álló, D. Chetverikov, 1992, Int. J. Imaging Syst. Technol..

Motion Tracking of Dense Feature Point Sets

Dmitry Chetverikov, D. Chetverikov, 1997 .

Dense Matching Methods for 3 D Scene Reconstruction from Wide Baseline Images

D. Chetverikov, 2009 .

Detecting shape defects in ferrite cores

D. Chetverikov, J. Verest, 2007 .

Layer extraction in rodent retinal images acquired by optical coherence tomography

D. Chetverikov, D. DeBuc, G. Somfai, 2012, Machine Vision and Applications.

3D Reconstruction of Planar Patches Seen by Omnidirectional Cameras

Dmitry Chetverikov, Zoltan Kato, Robert Frohlich, 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study pdf

Dmitry Chetverikov, Ahmad Basheer Hassanat, Ahmad S. Tarawneh, 2018, Intell. Data Anal..

SMOTEFUNA: Synthetic Minority Over-Sampling Technique Based on Furthest Neighbour Algorithm

Dmitry Chetverikov, Ahmad B. A. Hassanat, Ahmad S. Tarawneh, 2020, IEEE Access.

Dense 3D reconstruction from images by normal aided matching

Dmitry Chetverikov, Zoltán Megyesi, Géza Kós, 2006 .

Enhanced surface reconstruction from wide baseline images

Dmitry Chetverikov, Zoltán Megyesi, D. Chetverikov, 2004, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004..

Texture analysis using feature-based pairwise interaction maps

Dmitry Chetverikov, D. Chetverikov, 1999, Pattern Recognit..

Fundamental Structural Features in the Visual World

Dmitry Acm Chetverikov, D. Chetverikov, 1999 .

Texture feature based interaction maps: potential and limits

Dmitry Chetverikov, D. Chetverikov, 1996, TFCV.

Pattern Orientation and Texture Symmetry

Dmitry Chetverikov, D. Chetverikov, 1995, CAIP.

Texture Anisotropy, Symmetry, Regularity: Recovering Structure and Orientation from Interaction Maps

Robert M. Haralick, Dmitry Chetverikov, R. Haralick, 1995, BMVC.

Image-guided ToF depth upsampling: a survey

Dmitry Chetverikov, Zsolt Jankó, Ivan Eichhardt, 2017, Machine Vision and Applications.

Image-guided ToF depth upsampling: a survey

D. Chetverikov, Zsolt Jankó, Ivan Eichhardt, 2017, Machine Vision and Applications.

Illumination-robust variational optical flow using cross-correlation

Dmitry Chetverikov, Sándor Fazekas, József Molnár, 2010, Comput. Vis. Image Underst..

Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm

Pavel Krsek, Dmitry Chetverikov, Dmitry Stepanov, 2005, Image Vis. Comput..

Using a genetic algorithm to register an uncalibrated image pair to a 3D surface model

Anikó Ekárt, Dmitry Chetverikov, Zsolt Jankó, 2006, Eng. Appl. Artif. Intell..

The Trimmed Iterative Closest Point algorithm

Pavel Krsek, Dmitry Chetverikov, Dmitry Stepanov, 2002, Object recognition supported by user interaction for service robots.

On Motion Periodicity of Dynamic Textures

Dmitry Chetverikov, Sándor Fazekas, D. Chetverikov, 2006, BMVC.

Using Genetic Algorithms in Computer Vision: Registering Images to 3D Surface Model

Anikó Ekárt, Dmitry Chetverikov, Zsolt Jankó, 2007, Acta Cybern..

A Survey of Specularity Removal Methods

Dmitry Chetverikov, Francesco Banterle, Alessandro Artusi, 2011, Comput. Graph. Forum.

Pattern regularity as a visual key

Dmitry Chetverikov, D. Chetverikov, 2000, Image Vis. Comput..

Generating contrast curves for texture regularity analysis

Dmitry Chetverikov, D. Chetverikov, 1991, Pattern Recognit. Lett..

Feature Point Tracking for Incomplete Trajectories

Dmitry Chetverikov, Judit Verestóy, D. Chetverikov, 1999, Computing.

Experimental Comparative Evaluation of Feature Point Tracking Algorithms

Dmitry Chetverikov, Judit Verestóy, D. Chetverikov, 1998, Theoretical Foundations of Computer Vision.

Particle Image Velocimetry by Feature Tracking

Dmitry Chetverikov, D. Chetverikov, 2001, CAIP.

Dynamic Texture Recognition Using Normal Flow and Texture Regularity

Dmitry Chetverikov, Renaud Péteri, D. Chetverikov, 2005, IbPRIA.

Qualitative Characterization of Dynamic Textures for Video Retrieval

Dmitry Chetverikov, Renaud Péteri, D. Chetverikov, 2004, ICCVG.

Dynamic Texture Detection Based on Motion Analysis

Dmitry Chetverikov, Nahum Kiryati, Sándor Fazekas, 2009, International Journal of Computer Vision.

Detecting Regions of Dynamic Texture

Dmitry Chetverikov, Nahum Kiryati, Sándor Fazekas, 2007, SSVM.

Dynamic texture as foreground and background

Dmitry Chetverikov, Michal Haindl, Sándor Fazekas, 2011, Machine Vision and Applications.

Approximation-free running SVD and its application to motion detection

Dmitry Chetverikov, Attila Axt, D. Chetverikov, 2010, Pattern Recognit. Lett..

Dynamic Texture Recognition Using Optical Flow Features and Temporal Periodicity

Dmitry Chetverikov, Sándor Fazekas, D. Chetverikov, 2007, 2007 International Workshop on Content-Based Multimedia Indexing.

O3S-MTP: Oriented star sampling structure based multi-scale ternary pattern for texture classification

Yassine Ruichek, Dmitry Chetverikov, I. El khadiri, 2020, Signal Process. Image Commun..

Affine Correspondences Between Central Cameras for Rapid Relative Pose Estimation

Dmitry Chetverikov, Ivan Eichhardt, D. Chetverikov, 2018, ECCV.

K-Means Tree for Fast Furthest Neighbor Approximation

D. Chetverikov, A. Tarawneh, Issam Elkhadiri, 2020, International Computer Engineering Conference.

Novel Methods for Video-based Respiration Monitoring of Newborn Babies

D. Chetverikov, Á. Zarándy, Ádám Nagy, 2018 .

A Simple and Efficient Algorithm for Detection of High Curvature Points in Planar Curves

Dmitry Chetverikov, D. Chetverikov, 2003, CAIP.

An Implicit Non-linear Numerical Scheme for Illumination-robust Variational Optical Flow

Dmitry Chetverikov, Sándor Fazekas, József Molnár, 2009, BMVC.

Illumination-robust variational optical flow based on cross-correlation ∗

Dmitry Chetverikov, D. Chetverikov, József Molnár, 2009 .

Pilot Comparative Study of Different Deep Features for Palmprint Identification in Low-Quality Images

D. Chetverikov, A. Tarawneh, Ahmad Hassanat, 2018, ArXiv.

Quadratic Transformation for Planar Mapping of Implicit Surfaces

D. Chetverikov, József Molnár, 2012, Journal of Mathematical Imaging and Vision.

Detecting defects in texture

Dmitry Chetverikov, D. Chetverikov, 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm

Anikó Ekárt, Dmitry Chetverikov, Evgeny Lomonosov, 2006, Pattern Recognit. Lett..

Fast Synthesis of Dynamic Colour Textures

Dmitry Chetverikov, Jirí Filip, Michal Haindl, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study

D. Chetverikov, A. Tarawneh, C. Celik, 2018, Intell. Data Anal..