I. Matveev

发表

Detecting Fakes in Mobile Face Recognition Systems Using a Stereo Camera

Y. Efimov, I. Matveev, 2022, Journal of Computer and Systems Sciences International.

New method of selecting best iris template from sequence∗

I. Matveev, V. Novik, 2015 .

Updating the Biometric Template by Assessing the Quality of the Original Data

I. Matveev, I. Solomatin, S. B. Kubentaeva, 2022, Journal of Computer and Systems Sciences International.

Methods for improving image quality using spatial spectral analysis

V. G. Bochkareva, V. Tsurkov, I. Matveev, 2015 .

Detecting precise iris boundaries by circular shortest path method

I. Matveev, I. Simonenko, 2014, Pattern Recognition and Image Analysis.

Iris center location using Hough transform with two-dimensional parameter space

I. Matveev, 2012 .

Circular shortest path as a method of detection and refinement of iris borders in eye image

I. Matveev, 2011 .

Locating the Visible Part of the Iris with a Texture Classifier with a Support Set

I. Matveev, V. Novik, I. Solomatin, 2018, Automation and Remote Control.

Development of a methodology for studying the influence of technological factors of production on the quality of large ingots from stamped steel grades 5XHM and 56NiCrMoV7

E. Kazantsev, I. Matveev, O. Erokhina, 2020, Journal of Physics: Conference Series.

A biometrical data quality analysis method to reliably evaluate the efficiency of recognition algorithms and systems

I. A. Matveev, A. B. Murynin, V. V. Lobantsov, 2012, Pattern Recognition and Image Analysis.

Method of multimodal biometric data analysis for optimal efficiency evaluation of recognition algorithms and systems

I. A. Matveev, A. B. Murynin, V. V. Lobantsov, 2011, Pattern Recognition and Image Analysis.

Optimization of a Tracking System Based on a Network of Cameras

I. A. Matveev, V. V. Chigrinskii, I. Matveev, 2020, Journal of Computer and Systems Sciences International.

A high sensitivity gradiometric magnetometer

Y. Chaplygin, I. Matveev, S. Volkov, 1994 .

Automatic stereoscopic system for person recognition

Ivan A. Matveev, Alexander B. Murynin, Victor Dmitrievich Kuznetsov, 1999, Other Conferences.

3D computer vision system for face recognition

Ivan A. Matveev, Alexander B. Murynin, I. Matveev, 1999 .

Iris Segmentation System Based on Approximate Feature Detection with Subsequent Refinements

Ivan Matveev, Konstantin Gankin, I. Matveev, 2014, 2014 22nd International Conference on Pattern Recognition.

Iris image segmentation based on approximate methods with subsequent refinements

I. A. Matveev, K. A. Gankin, A. N. Gneushev, 2014 .

Iris image segmentation based on approximate methods with subsequent refinements

I. Matveev, A. Gneushev, K. Gankin, 2014, Journal of Computer and Systems Sciences International.

Semi-Paired Multiview Clustering Based on Nonnegative Matrix Factorization

I. A. Matveev, X. Yao, X. Chen, 2019, Journal of Computer and Systems Sciences International.

Location of pupil contour by Hough transform of connectivity components

I. Matveev, N. Chinaev, V. Novik, 2016, Pattern Recognition and Image Analysis.

Training a Classifier by Descriptors in the Space of the Radon Transform

I. A. Matveev, A. N. Gneushev, N. A. Samsonov, 2020 .

Training a Classifier by Descriptors in the Space of the Radon Transform

N. A. Samsonov, I. Matveev, A. Gneushev, 2020, Journal of computer & systems sciences international.

Generation of soft X-rays in the atmosphere of RR Lyrae

I. Matveev, S. M. Andrievskii, 1991 .

Using binocular pupillometry method for evaluating the functional state of persons

I. Matveev, K. Gankin, N. N. Varchenko, 2015 .

Locating the Visible Part of the Iris with a Texture Classifier with a Support Set

Ivan A. Matveev, Vladimir P. Novik, Ivan A. Solomatin, 2018, Automation and Remote Control.

Detection of iris in images using brightness gradient projections

I. A. Matveev, I. Matveev, 2011, Pattern Recognition and Image Analysis.