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Tytuł:
Review of face recognition algorithms
Autorzy:
BUKOWSKI, MICHAŁ
Powiązania:
https://bibliotekanauki.pl/articles/1798781.pdf
Data publikacji:
2021-04-21
Wydawca:
Wyższa Szkoła Policji w Szczytnie
Tematy:
face recognition
biometrics
image processing
pattern recognition
neural network
Opis:
Information technology of the 20th and 21st centuries “opened the way” to the automatic assessment of anthropometric facial features, facial gestures and other characteristic behaviours. Recognition is a very complex technical problem with a signifi cant practical effect. There are dedicated applications for this purpose. The article presents face recognition algorithms for 2D images, for three-dimensional spaces, and methods using neural networks. Linear and nonlinear, local and global, and hybrid methods of facial recognition are presented. The study understands the strengths and weaknesses of the laws governing the use of face recognition technology and, if possible, analyses their effi ciency. The methodological review has been created in connection with the idea of the author’s own fast algorithms and facial recognition.
Źródło:
Przegląd Policyjny; 2020, 140(4); 209-243
0867-5708
Pojawia się w:
Przegląd Policyjny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementacja algorytmu rozpoznawania twarzy z użyciem metody analizy głównych składowych w układzie SoC
A SoC-based implementation of the face recognition algorithm in digital images using principal component analysis
Autorzy:
Wujek, P.
Pełka, R.
Powiązania:
https://bibliotekanauki.pl/articles/155840.pdf
Data publikacji:
2014
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
rozpoznawanie twarzy
FPGA
SoC
face recognition
Opis:
W artykule przedstawiono koncepcję oraz realizację sprzętową mikrosystemu do rozpoznawania twarzy z użyciem metody PCA (Principal Component Analysis) [1-3]. Jako platforma sprzętowa użyty został układ programowalny SoC z rodziny Zynq firmy Xilinx [4]. Realizacja PCA polega na zbudowaniu bazy danych w oparciu o obrazy źródłowe a następnie dopasowaniu poszukiwanej twarzy w bazie danych. W artykule przedstawiono implementację programową w środowisku MATLAB/PC oraz implementację w układzie SoC. Obydwie implementacje przetestowano i przebadano pod względem złożoności oraz szybkości działania. Przedstawiono również ich zalety i wady.
This paper describes the design and implementation of the integrated microsystem for face recognition in digital images, based on a new SoC Zynq from Xilinx [4]. Zynq is a new class of SoCs which contains an industry-standard ARM dual-core Cortex-A9 processing system and 28 nm programmable logic. Face recognition is performed by the well known PCA algorithm (Principal Component Analysis) [1-2]. The proposed microsystem creates database from a number of source images and then identifies faces by PCA fitness. The algorithm was implemented in a twofold way: (1) using MATLAB/PC, and (2) hardware platform based on ZedBoard from Avnet with Zynq XC7Z020 SoC. Both versions of implementations were tested in terms of complexity and speed. It was proved that the hardware implementation worked properly and gave exactly the same results as a software algorithm running on the PC platform. Experimental tests of the PCA-based face recognition system were performed with the use of ORL database [6]. The hardware implementation is relatively slower but fast enough for most real applications of face detection systems in mobile, handheld terminals. Since the proposed microsystem is based on the embedded dual-core ARM Cortex A9 processor and uses Linux kernel it can be easily extended and connected to other digital devices using standard communication interfaces (including wireless channels).
Źródło:
Pomiary Automatyka Kontrola; 2014, R. 60, nr 7, 7; 423-425
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Survey on Facial Features Detection
Autorzy:
Naruniec, J.
Powiązania:
https://bibliotekanauki.pl/articles/226792.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
object detection
image processing
face recognition
Opis:
In this article chosen approaches to the facial features detection have been gathered and described. In the conclusion author discusses advantages and disadvantages of the presented algorithms.
Źródło:
International Journal of Electronics and Telecommunications; 2010, 56, 3; 267-272
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Face Tracking and Recognition with the Use of Particle-Filtered Local Features
Autorzy:
Stasiak, Ł. A.
Pacut, A.
Powiązania:
https://bibliotekanauki.pl/articles/308537.pdf
Data publikacji:
2010
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
biometrics
face recognition
particle filtering
video analysis
Opis:
A consistent particle filtering-based framework for the purpose of parallel face tracking and recognition from video sequences is proposed. A novel approach to defining randomized, particle filtering-driven local face features for the purpose of recognition is proposed. The potential of cumulating classification decisions based on the proposed feature set definition is evaluated. By applying cumulation mechanisms to the classification results determined from single frames and with the use of particle-filtered features, good recognition rates are obtained at the minimal computational cost. The proposed framework can operate in real-time on a typical modern PC. Additionally, the application of cumulation mechanisms makes the framework resistant to brief visual distortions, such as occlusions, head rotations or face expressions. A high performance is also obtained on low resolution images (video frames). Since the framework is based on the particle filtering principle, it is easily tunable to various application requirements (security level, hardware constraints).
Źródło:
Journal of Telecommunications and Information Technology; 2010, 4; 26-36
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of cascading two-dimensional canonical correlation analysis to image matching
Autorzy:
Forczmański, P.
Kukharev, G.
Kamenskaya, E.
Powiązania:
https://bibliotekanauki.pl/articles/206165.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
canonical correlation analysis
image matching
face recognition
Opis:
The paper presents a novel approach to Canonical Correlation Analysis (CCA) applied to visible and thermal infrared spectrum facial images. In the typical CCA framework biometrical information is transformed from original feature space into the space of canonical variates, and further processing takes place in this space. Extracted features are maximally correlated in canonical variates space, making it possible to expose, investigate and model latent relationships between measured variables. In the paper the CCA is implemented along two directions (along rows and columns of pixel matrix of dimension M x N) using a cascade scheme. The first stage of transformation proceeds along rows of data matrices. Its results are reorganized by transposition. These reorganized matrices are inputs to the second processing stage, namely basic CCA procedure performed along the rows of reorganized matrices, resulting in fact in proceeding along the columns of input data matrix. The so called cascading 2DCCA method also solves the Small Sample Size problem, because instead of the images of size MxN pixels in fact we are using N images of size M x 1 pixels and M images of size 1 x N pixels. In the paper several numerical experiments performed on FERET and Equinox databases are presented.
Źródło:
Control and Cybernetics; 2011, 40, 3; 833-848
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Liveness measurements using optical flow for biometric person authentication
Autorzy:
Smiatacz, M.
Powiązania:
https://bibliotekanauki.pl/articles/220597.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
liveness detection
biometrics
optical flow
face recognition
Opis:
Biometric identification systems, i.e. the systems that are able to recognize humans by analyzing their physiological or behavioral characteristics, have gained a lot of interest in recent years. They can be used to raise the security level in certain institutions or can be treated as a convenient replacement for PINs and passwords for regular users. Automatic face recognition is one of the most popular biometric technologies, widely used even by many low-end consumer devices such as netbooks. However, even the most accurate face identification algorithm would be useless if it could be cheated by presenting a photograph of a person instead of the real face. Therefore, the proper liveness measurement is extremely important. In this paper we present a method that differentiates between video sequences showing real persons and their photographs. First we calculate the optical flow of the face region using the Farnebäck algorithm. Then we convert the motion information into images and perform the initial data selection. Finally, we apply the Support Vector Machine to distinguish between real faces and photographs. The experimental results confirm that the proposed approach could be successfully applied in practice.
Źródło:
Metrology and Measurement Systems; 2012, 19, 2; 257-268
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The constitutional right to privacy and the operation of algorithms verifying electoral preferences from the face
Autorzy:
Stępień-Załucka, Beata
Powiązania:
https://bibliotekanauki.pl/articles/48899576.pdf
Data publikacji:
2024-04-14
Wydawca:
Uniwersytet Warszawski. Wydawnictwa Uniwersytetu Warszawskiego
Tematy:
privacy rights
algorithms
face recognition
new technologies
Opis:
New technologies bring not only many opportunities but also many risks. Some of them we have already got used to, while others still pose a challenge. The latter undoubtedly includes constantly evolving algorithms. Every day we learn about new possibilities for their application. Unfortunately, these possibilities or applications do not always go hand in hand with the existing rights and freedoms and increasingly pose a threat of their infringement. Recently, research results have been published on the recognition of individuals’ voting preferences from their faces by an algorithm. Such a possibility in application carries the risk of violation of constitutional rights, including the right to privacy. In this paper, this problem will be developed. First, the essence of the right to privacy will be examined and then, based on the research on facial recognition biometrics, I will present the scope and consequences of its violation.
Źródło:
Studia Iuridica; 2023, 101; 412-423
0137-4346
Pojawia się w:
Studia Iuridica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A connectionist computational method for face recognition
Autorzy:
Pujol, F. A.
Mora, H.
Girona-Selva, J. A.
Powiązania:
https://bibliotekanauki.pl/articles/330558.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
pattern recognition
face recognition
neural network
self organizing map
rozpoznawanie wzorca
rozpoznawanie twarzy
sieć neuronowa
samodzielne organizowanie map
Opis:
In this work, a modified version of the elastic bunch graph matching (EBGM) algorithm for face recognition is introduced. First, faces are detected by using a fuzzy skin detector based on the RGB color space. Then, the fiducial points for the facial graph are extracted automatically by adjusting a grid of points to the result of an edge detector. After that, the position of the nodes, their relation with their neighbors and their Gabor jets are calculated in order to obtain the feature vector defining each face. A self-organizing map (SOM) framework is shown afterwards. Thus, the calculation of the winning neuron and the recognition process are performed by using a similarity function that takes into account both the geometric and texture information of the facial graph. The set of experiments carried out for our SOM-EBGM method shows the accuracy of our proposal when compared with other state-of the-art methods.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2016, 26, 2; 451-465
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
COMPACT: biometric dataset of face images acquired in uncontrolled indoor environment
Autorzy:
Włodarczyk, Michał
Kacperski, Damian
Sankowski, Wojciech
Grabowski, Kamil
Powiązania:
https://bibliotekanauki.pl/articles/305502.pdf
Data publikacji:
2019
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
biometrics
face recognition
face database
less-cooperative identification
Opis:
Biometric databases are important components that help improve the performanceof state-of-the-art recognition applications. The availability of more andmore challenging data is attracting the attention of researchers, who are systematicallydeveloping novel recognition algorithms and increasing the accuracyof identification. Surprisingly, most of the popular face datasets (like LFW orIJBA) are not fully unconstrained. The majority of the available images werenot acquired on-the-move, which reduces the amount of blurring that is causedby motion or incorrect focusing. Therefore, the COMPACT database for studyingless-cooperative face recognition is introduced in this paper. The datasetconsists of high-resolution images of 108 subjects acquired in a fully automatedmanner as people go through the recognition gate. This ensures that the collecteddata contains real-world degradation factors: different distances, expressions,occlusions, pose variations, and motion blur. Additionally, the authorsconducted a series of experiments that verified the face-recognition performanceon the collected data.
Źródło:
Computer Science; 2019, 20 (1); 3-26
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Acquisition of databases for facial analysis
Autorzy:
Malawski, F.
Powiązania:
https://bibliotekanauki.pl/articles/115749.pdf
Data publikacji:
2016
Wydawca:
Fundacja na Rzecz Młodych Naukowców
Tematy:
facial expression recognition
face recognition
facial analysis
database acquisition
rozpoznawanie mimiki twarzy
rozpoznawanie twarzy
analiza twarzy
nabycie bazy danych
Opis:
This article describes guidelines and recommendations for acquisition of databases for facial analysis. New devices and methods for both face recognition and facial expression recognition are constantly developed. In order to evaluate these devices and methods, dedicated datasets are recorded. Acquisition of a database for facial analysis is not an easy task and requires taking into account multiple issues. Based on our experience with recording databases for facial expression recognition, we provide guidelines regarding the acquisition process. Multiple aspects of such process are discussed in this work, namely selection of sensors and data streams, design and structure of the database, technical aspects, acquisition conditions and design of the user interface. Recommendations how to address these aspects are provided and justified. An acquisition software, designed according to these guidelines, is also discussed. The software was used for recording an extended version of our previous facial expression recognition database and proved to both ensure correct data and be convenient for the recorded subjects.
Źródło:
Challenges of Modern Technology; 2016, 7, 3; 3-7
2082-2863
2353-4419
Pojawia się w:
Challenges of Modern Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Noise robust illumination invariant face recognition via bivariate wavelet shrinkage in logarithm domain
Autorzy:
Chen, Guang Yi
Krzyżak, Adam
Duda, Piotr
Cader, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/2147140.pdf
Data publikacji:
2022
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
face recognition
dual-tree complex wavelet transforms
DTCWT
collaborative representation-based classifier
CRC
invariant features
pattern recognition
computer vision
Opis:
Recognizing faces under various lighting conditions is a challenging problem in artificial intelligence and applications. In this paper we describe a new face recognition algorithm which is invariant to illumination. We first convert image files to the logarithm domain and then we implement them using the dual-tree complex wavelet transform (DTCWT) which yields images approximately invariant to changes in illumination change. We classify the images by the collaborative representation-based classifier (CRC). We also perform the following sub-band transformations: (i) we set the approximation sub-band to zero if the noise standard deviation is greater than 5; (ii) we then threshold the two highest frequency wavelet sub-bands using bivariate wavelet shrinkage. (iii) otherwise, we set these two highest frequency wavelet sub-bands to zero. On obtained images we perform the inverse DTCWT which results in illumination invariant face images. The proposed method is strongly robust to Gaussian white noise. Experimental results show that our proposed algorithm outperforms several existing methods on the Extended Yale Face Database B and the CMU-PIE face database.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2022, 12, 3; 169--180
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Acces control system using face image
Autorzy:
Bobulski, J.
Powiązania:
https://bibliotekanauki.pl/articles/205672.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
face localization
face detection
face recognition
biometrics
access control
Opis:
Ensuring safety requires the use of access control systems. Traditional systems typically use proximity cards. Modern systems use biometrics to identify the user. Using biological characteristics for identification ensures a high degree of safety. In addition, biological characteristics cannot be neither lost nor stolen. This paper presents proposals for the access control system Rusing face image. The system operates in real time using camera image.
Źródło:
Control and Cybernetics; 2012, 41, 3; 691-703
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Metoda ekstrakcji cech orientowana na sprzętową realizację w zadaniach rozpoznawania obrazów
Feature extraction method directed on hardware realization for image recognition tasks
Autorzy:
Kukharev, G.
Sałuda, R.
Mikłasz, M.
Kawka, G.
Powiązania:
https://bibliotekanauki.pl/articles/151790.pdf
Data publikacji:
2009
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
rozpoznawanie twarzy
LIFE
ekstrakcja cech
feature extractor
face recognition
Opis:
Rozpoznawanie obrazów to zadanie realizowane najczęściej przez skomplikowane i złożone metody. Jednak wykorzystanie zestawu prostych i szybkich metod pozwala na dorównanie skutecznością systemom używającym skomplikowanych podejść. Rozwiązanie to ma dodatkowy plus - łatwość implementacji sprzętowej. W artykule przedstawiono podejście analizujące lokalną symetryczność obrazu, które pomimo swojej prostoty, wykazało się dużą skutecznością. Przeprowadzone eksperymenty pokazały, że omawiana metoda ekstrakcji cech z obrazu może mieć bezpośrednie zastosowanie w systemach rozpoznawania, a jej prostota pozwala na sprzętową realizację. Dodatkową zaletą prezentowanej metody jest jej inwariantność od oświetlenia twarzy. Dzięki temu istnieje możliwość znaczącej poprawy wydajności całego systemu rozpoznawania.
The paper presents the results of investigations concerning face recognition systems based on a simple, fast and efficient feature extractor method. It is based on analysis of the local image symmetry. An additional advantage of the described method is the fact that it is light invariant feature extractor - so it is called LIFE. This benefit (robust on the light conditions) makes it possible to use the method practically as the hardware implementation in real monitoring systems. The idea of LIFE operation is described in Section 2 of the paper. The performed experiments, presented in Section 3 show that LIFE is very efficient in comparison with other simple feature extractor methods - the results of recognition are given in Table 1. In spite of the method simplicity, the proposed approach proved high effectiveness which may be further increased by joining LIFE into a parallel structure with another simple feature extractor (it is described in Section 4). The presented feature extractor enables implementation in hardware system (simplicity and efficiency) such as cameras of the monitoring system. This idea is discussed in the conclusions.
Źródło:
Pomiary Automatyka Kontrola; 2009, R. 55, nr 8, 8; 563-565
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Image acquisition system based on synchronized high-resolution gigabit ethernet cameras
Autorzy:
Włodarczyk, M.
Kacperski, D.
Płuciennik, T.
Grabowski, K.
Powiązania:
https://bibliotekanauki.pl/articles/305720.pdf
Data publikacji:
2017
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
image acquisition
cameras synchronized with illumination
biometrics
face recognition
Opis:
Over the past few years, a huge increase in the number of various computer vision applications can be observed. These are widely used in such areas as video surveillance, medical diagnostics, biometrics recognition, and the automotive and military industries. Most of these solutions take advantage of high-resolution cameras in order to obtain high-quality images. Surprisingly, little attention is paid in the literature to the practical implementation of off- the-shelf image acquisition systems. Most of the available solutions are composed of custom-developed electronic devices that use specialized multi-core DSPs and/or FPGA technology. Therefore, a novel realization of a scalable and comprehensive image acquisition system based on synchronized high-resolution Gigabit Ethernet cameras is presented in this paper. The proposed solution allows for the connection of multiple cameras along with any number of external illumination modules. The selected devices can be synchronized with each other in user-defined configurations; hence, a designed solution can be easily integrated in both simple and complex applications. The authors describe the design and implementation processes of the proposed platform in detail. The performance issues that can occur in such systems are presented and discussed. The obtained results are encouraging and useful for the development of similar solutions.
Źródło:
Computer Science; 2017, 18 (2); 179-194
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rgb-D face recognition using LBP-DCT algorithm
Autorzy:
Kumar, Sunil B L
Kumari, Sharmila M
Powiązania:
https://bibliotekanauki.pl/articles/1956066.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
RGB-D
kinect
local binary pattern
pattern recognition
feature extraction
histogram
face recognition
lokalny wzorzec binarny
rozpoznawanie wzorców
wyodrębnianie cech
rozpoznawanie twarzy
Opis:
Face recognition is one of the applications in image processing that recognizes or checks an individual's identity. 2D images are used to identify the face, but the problem is that this kind of image is very sensitive to changes in lighting and various angles of view. The images captured by 3D camera and stereo camera can also be used for recognition, but fairly long processing times is needed. RGB-D images that Kinect produces are used as a new alternative approach to 3D images. Such cameras cost less and can be used in any situation and any environment. This paper shows the face recognition algorithms’ performance using RGB-D images. These algorithms calculate the descriptor which uses RGB and Depth map faces based on local binary pattern. Those images are also tested for the fusion of LBP and DCT methods. The fusion of LBP and DCT approach produces a recognition rate of 97.5% during the experiment
Źródło:
Applied Computer Science; 2021, 17, 3; 73-81
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
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