A. Makovetskii

发表

A non‐iterative method for approximation of the exact solution to the point‐to‐plane variational problem for orthogonal transformations

V. Kober, A. Makovetskii, S. Voronin, 2018, Mathematical Methods in the Applied Sciences.

A fast total variation regularization algorithm for 2D piecewise constant radially symmetric functions

V. Kober, A. Makovetskii, S. Voronin, 2018, Journal of Physics: Conference Series.

A regularized point cloud registration approach for orthogonal transformations

V. Kober, A. Makovetskii, S. Voronin, 2020 .

On transformations of special spines and special polyhedra

A. Makovetskii, A. Yu. Makovetskii, 1999 .

Analysis of the gradient descent method in problems of the signals and images restoration

V. Kober, A. Makovetskii, 2015, Pattern Recognition and Image Analysis.

Nonrigid Registration Algorithm in the Face Recognition Problem

M. Mozerov, V. Karnaukhov, A. Makovetskii, 2021, Journal of Communications Technology and Electronics.

Effective indexing for face recognition

A. Sochenkova, A. Vokhmintsev, Ilya Sochenkov, 2016, Optical Engineering + Applications.

An algorithm of face recognition based on generative adversarial networks

Artyom Makovetskii, J. Diaz-Escobar, Alexander Vasilyev, 2018, Optical Engineering + Applications.

An efficient algorithm of total variation regularization in the two-dimensional case

Vitaly Kober, Artyom Makovetskii, Aleksei Voronin, 2020, Optical Engineering + Applications.

Tube-Based Taut String Algorithms for Total Variation Regularization

Vitaly Kober, Artyom Makovetskii, Aleksei Voronin, 2020, Mathematics.

A Fast Algorithm of Regularization of the Total Variation for the Class of Radially Symmetrical Functions

V. Kober, V. Karnaukhov, A. Makovetskii, 2019, Journal of Communications Technology and Electronics.

An efficient algorithm of 3D total variation regularization

Vitaly Kober, Artyom Makovetskii, Sergei Voronin, 2018, Optical Engineering + Applications.

A generalized Condat's algorithm of 1D total variation regularization

Vitaly Kober, Artyom Makovetskii, Sergei Voronin, 2017, Optical Engineering + Applications.

A fast one dimensional total variation regularization algorithm

V. Kober, A. Makovetskii, S. Voronin, 2017 .

Fast algorithm for calculation of linear variations

Artyom Makovetskii, Fedor Alekseev, Mikhail Alekseev, 2016, Optical Engineering + Applications.

Total variation regularization with bounded linear variations

Vitaly Kober, Artyom Makovetskii, Sergei Voronin, 2016, Optical Engineering + Applications.

An Efficient Algorithm for Total Variation Denoising

Vitaly Kober, Artyom Makovetskii, Sergei Voronin, 2016, AIST.

Explicit solutions of one-dimensional total variation problem

Vitaly Kober, Artyom Makovetskii, Sergei Voronin, 2015, SPIE Optical Engineering + Applications.

Frequency Analysis of Gradient Descent Method and Accuracy of Iterative Image Restoration

Vitaly Kober, Artyom Makovetskii, Alexander Vokhmintsev, 2015, AIST.

Distortion operator kernel and accuracy of iterative image restoration

Vitaly Kober, Artyom Makovetskii, V. Kober, 2014, Optics & Photonics - Optical Engineering + Applications.

Robot path planning algorithm based on symbolic tags in dynamic environment

A. Makovetskii, A. Vokhmintsev, M. Timchenko, 2017, Optical Engineering + Applications.

Image dehazing based on microscanning approach

Vitaly Kober, Tatyana Makovetskaya, Artyom Makovetskii, 2020, Optical Engineering + Applications.

Nonrigid Registration Algorithm in the Face Recognition Problem

M. Mozerov, V. Karnaukhov, A. Makovetskii, 2021, Journal of Communications Technology and Electronics.

Neural network and non-rigid ICP in facial recognition problem

Artyom Makovetskii, Aleksei Voronin, Sergei Voronin, 2020, Optical Engineering + Applications.

Facial recognition and 3D non-rigid registration

Vitaly Kober, Artyom Makovetskii, Dmitrii Zhernov, 2020, 2020 International Conference on Information Technology and Nanotechnology (ITNT).

Non-rigid ICP and 3D models for face recognition

Vitaly Kober, Artyom Makovetskii, Aleksei Voronin, 2019, Optical Engineering + Applications.

Analysis of the gradient descent method in problems of the signals and images restoration

V. Kober, A. Makovetskii, 2015, Pattern Recognition and Image Analysis.

A point-to-plane registration algorithm for orthogonal transformations

Vitaly Kober, Artyom Makovetskii, Aleksei Voronin, 2018, Optical Engineering + Applications.

Point Cloud Registration Based on Multiparameter Functional

V. Kober, A. Makovetskii, S. Voronin, 2021, Mathematics.

A fusion algorithm for building three-dimensional maps

Vitaly Kober, A. Vokhmintsev, Ilya Sochenkov, 2015, SPIE Optical Engineering + Applications.

Orientations of Spines of Homology Balls

A. Makovetskii, 2003 .

Convolutional auto-encoder to extract local features of 2D images

V. Kober, A. Makovetskii, S. Voronin, 2023, Optical Engineering + Applications.