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w słowach kluczowych:  face recognition
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Image Processing & Communications
EN In this paper we present a new database of color, high resolution face images. The database contains almost 10000 images of 100 people acquired in partially controlled conditions and stored in 2048 x 1536 pixels images. The base is publicly available for research purposes and can be used as a traini[...]
Metrology and Measurement Systems
EN 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 r[...]
Control and Cybernetics
EN 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 tak[...]
Journal of Telecommunications and Information Technology
2010 nr 4 26-36
EN 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 c[...]
Optica Applicata
2010 Vol. 40, nr 3 693--704
EN A novel method of Fisher’s linear discriminant (FLD) in the residual space is put forward for the representation of face images for face recognition, which is robust to the slight local feature changes. The residual images are computed by subtracting the reconstructed images from the original face i[...]
Przegląd Elektrotechniczny
2012 R. 88, nr 9a 217-221
PL Artykuł prezentuje ilościową ocenę wykorzystania opisu cech lokalnych obrazu twarzy za pomocą metody SIFT jako algorytmu systemu skrytej identyfikacji tożsamości osób. Przedstawiono w nim propozycję postaci klasyfikatora oraz wyniki badania wpływu liczby klas w bazie oraz liczby wzorców w klasach na[...]
EN The paper presents a quantitative assessment of the local feature image descriptors offered by the SIFT method for the needs of an inconspicuous identification of persons based on face images. A proposal of an algorithm to classify images is discussed as well as the influence of the number of classe[...]
Optica Applicata
2012 Vol. 42, nr 4 865--873
EN The article presents a person identification system, which may work with an identikit picture. The identikit picture (sketch) is often used in practice as an investigative tool to search for the perpetrators of an unknown identity. With a portrait of the perpetrator of a crime, one may identify the [...]
Computing, Multimedia and Intelligent Techniques
2005 Vol. 1 nr 1 111-124
EN In this paper we describe structures and properties of face recognition systems (FaReS) and present example solutions to Name-It, Visitor Identification and Access Control problems.
Machine Graphics and Vision
EN This paper investigates the use of kernel theory in two well-known, linear-based subspace representations: Principle Component Analysis (PCA) and Fisher's Linear Discriminant Analysis (FLD). The kernel-based method provides subspaces of high-dimensional feature spaces induced by some nonlinear mappi[...]
Machine Graphics and Vision
EN We examine the problem of discriminating between objects of more than two classes using "minimum information". Discrete Cosine Transforms (DCT) represents a computationally simple and efficient method that preserves the structure of the data without introducing significant distortion. In this paper,[...]
Computer Science
2017 Vol. 18 (2) 179--194
EN 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 o[...]
Elektronika : konstrukcje, technologie, zastosowania
PL W celu dokładniejszego zrozumienia sposobu rozpoznawania i zapamiętywania twarzy przez człowieka, przeprowadzono doświadczenie na grupie 20 osób z wykorzystaniem wcześniej opracowanego systemu śledzenia fiksacji wzroku Cyber-Oko [3]. W urządzeniu tym zastosowano fotodiody podczerwieni i kamerę podcz[...]
EN In order to understand the way humans memorize and recognize faces, we conducted research experiments employing a group of 20 people using the previously developed gaze-tracking system Cyber-Eye. The Cyber-Eye's dedicated software coupled with infrared diodes and a camera allow tracking sight focus [...]
International Journal of Electronics and Telecommunications
EN 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.
Zeszyty Naukowe. Elektryka / Politechnika Opolska
2017 z. 75 79--82
EN This study describes linear discriminant analysis (LDA) algorithm. The most significant aspects of the algorithm are discussed and properly tested with an application made in C++ specifically for this study. Quantitative study revealed many different advantages about the LDA algorithm.
Metody Informatyki Stosowanej
2008 nr 3 (Tom 16) 167--185
EN The paper addresses the problem of face recognition, using matrix description of original face images. Reduced dimensionality matrix representation of face image is obtained with linear discriminant analysis (LDA) applied simultaneously to rows and columns of original image matrix, called LDArc. We [...]
Automatyka / Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie
2011 T. 15, z. 3 545-550
PL Artykuł przedstawia zastosowanie deskryptorów punktów charakterystycznych do rozpoznawania twarzy. W wyborze punktów charakterystycznych kierowano się doniesieniami z badań psychologicznych, wskazujących że do rozpoznania twarzy wystarczają człowiekowi dwa ruchy fiksacyjne koncentrujące się w okolic[...]
EN The paper presents an application of characteristic points descriptors method for human face recognition. This method was chosen based on results of psychological examinations, which show that only two eyesight fixations (located in nose and eyes region) are necessary to recognize a human face. The [...]
Computer Science
EN 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 a[...]
Control and Cybernetics
EN 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 ne[...]
Optica Applicata
2011 Vol. 41, nr 1 183--193
EN There has been much research about using Gabor wavelet for face recognition. Other multiscale geometrical tools, such as curvelet and contourlet, have also been used for face recognition, thus it is interesting to know which method performs best, especially under illumination and expression changes.[...]
Optica Applicata
2011 Vol. 41, nr 4 825--839
EN To deal with illumination variations in face recognition, a novel two-stage illumination normalization method is proposed in this paper. Firstly, a discrete cosine transform (DCT) is used on the original images in logarithm domain. DC coefficient is set based on the average pixel value of all the wi[...]
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