The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Curran Associates, Inc., 2016.
Under the general editorship: R. Chellappa, Z. Zhengyou, A. Hoogs
CVRP is the premiere annual Computer Vision event comprising the main CVRP conference and 27 co-located workshops and short courses.
, , , Programming and Computer Software 2018 Vol. 44 No. 4 P. 258-265
This work is focused on person identification task in video sequences. For this task we propose two complementing solutions, which can be applied in different cases: gait and visual recognition. For gait recognition three kinds of features are used: anthropometric features, based on the length of the skeleton segments; relative distance features, based on relative ...
Added: October 31, 2019
, , , Programming and Computer Software 2017 Vol. 43 No. 4 P. 224-229
The paper considers a problem of multiple person tracking. We present the algorithm to automatic people tracking on surveillance videos recorded by static cameras. Proposed algorithm is an extension of approach based on tracking-by-detection of people heads and data association using Markov chain Monte Carlo (MCMC). Short track fragments (tracklets) are built by local tracking ...
Added: March 14, 2018
, , Programming and Computer Software 2019 Vol. 45 No. 4 P. 213-220
Human gait is an important biometric index that allows to identify a person at a great distance without direct contact. Due to these qualities, which other popular identifiers such as fingerprints or iris do not have, the recognition of a person by the manner of walking has become very common in various areas where video ...
Added: October 31, 2019
Boca Raton : Chapman-Hall/ Taylor and Francis Group, 2011
Added: September 24, 2014
Curran Associates, Inc., 2016
CVRP is the premiere annual Computer Vision event comprising the main CVRP conference and 27 co-located workshops and short courses. ...
Added: December 26, 2017
NY : Springer, 2013
Added: September 24, 2014
, , et al., / arXiv. Series 2203.13718 "cs". 2022.
Finding efficient means of fingerprinting microstructural information is a critical step towards harnessing data-centric machine learning approaches. A statistical framework is systematically developed for compressed characterisation of a population of images, which includes some classical computer vision methods as special cases. The focus is on materials microstructure. The ultimate purpose is to rapidly fingerprint sample ...
Added: October 28, 2022
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; ...
Added: October 30, 2018
, , et al., FME Transactions 2019 Vol. 47 No. 4 P. 765-774
Detection and classification of surface defects of the rolled metal is one of the main tasks for correctly assessing product quality. Historically, these tasks were performed by human. But due to a multitude of production factors, such as high rolling rate and temperature of the metal, the results of such human work are rather low. ...
Added: November 22, 2019
San Francisco : IEEE, 2010
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on ...
Added: October 18, 2017
Recent Trends in Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020 Revised Supplementary Proceedings
This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic. The 27 full papers and 4 short papers presented ...
Added: October 7, 2020
Added: October 21, 2019
Piscataway : IEEE, 2020
2020 International Joint Conference on Neural Networks (IJCNN) held virtually, as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020. IJCNN 2020 is jointly organized by the IEEE Computational Intelligence Society (CIS) and the International Neural Network Society (INNS). For IJCNN 2020 (and when WCCI is organized in even-numbered years) IEEE CIS ...
Added: October 15, 2020
Providence : IEEE, 2012
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on ...
Added: October 1, 2014
, , , Известия ЮФУ. Технические науки 2012 № 6 С. 144-148
This article is devoted to the method of initial image processing to use in stereovision systems. It is based on a modification of video stabilization approach . The method considers image rectification process as a sequence of transformations. Each transformation is found as a solution of optimization problem. The article describes mathematical model that fits ...
Added: October 16, 2017
Berlin : Springer, 2008
Added: July 10, 2014
, , et al., Vision Research 2016 Vol. 126 P. 264-277
This study, which was influenced a lot by Gestalt ideas, extends our prior work on the role of a priori constraints in the veridical perception of 3D shapes to the perception of 3D scenes. Our experiments tested how human sub-jects perceive the layout of a naturally-illuminated indoor scene that contains common symmetrical 3D objects standing ...
Added: September 15, 2015
Santiago de Chile : IEEE, 2015
Computer Vision (ICCV), 2015 IEEE International Conference on ...
Added: October 19, 2017
, , , Computer Optics 2019 Vol. 43 No. 4 P. 618-626
Modern biometric systems based on face recognition demonstrate high recognition quality, but they are vulnerable to face presentation attacks, such as photo or replay attack. Existing face anti-spoofing methods are mostly based on texture analysis and due to lack of training data either use hand-crafted features or ﬁne-tuned pretrained deep models. In this paper we ...
Added: October 31, 2019
Human face detection in excessive dark image by using contrast stretching, histogram equalization and adaptive equalization
, International Journal of Engineering and Technology 2018 Vol. 7 No. 4 P. 3990-3994
Darkness is the inverse state of the brightness, is obtained as an absence of noticeable light and illumination. Generally, face detection applications cannot detect any human face in a dark image, where the image has captured from the dark environment or dark night. In this manuscript, we demonstrate our experiment, where we use Contrast Stretching, ...
Added: October 29, 2019
Data Analytics and Management in Data Intensive Domains. 23rd International Conference, DAMDID/RCDL 2021, Moscow, Russia, October 26–29, 2021, Revised Selected Papers
“Data Analytics and Management in Data Intensive Domains” conference (DAMDID) is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, ...
Added: August 30, 2021
NY : Association for Computing Machinery (ACM), 2018
Welcome to the 23rd International ACM Conference on 3D Web Technology - Web3D 2018, organized in cooperation with the Web3D Consortium at the Poznań University of Economics and Business in Poznań, Poland on June 20-22, 2018. This year's theme "3D Everywhere" emphasizes the global scope and impact of current and future 3D technology. Web3D fosters and ...
Added: September 3, 2018
Added: October 3, 2020
Computer Vision – ECCV 2018. 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part XII
Cham : Springer, 2018
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; ...
Added: October 31, 2018