The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Classroom attendance check is a contributing factor to student participation and the final success in the courses. Taking attendance by calling out names or passing around an attendance sheet are both time-consuming, and especially the latter is open to easy fraud. As an alternative, RFID, wireless, fingerprint, and iris and face recognition-based methods have been tested and developed for this purpose...
We propose a new pretreatment for pedestrian detection with convolutional networks. It is widely known that the phenomenon of overlapping feature distribution is common, which leads to overfitting problem. We present a method that divide one category that have overlapping distributed features into multi-subcategories. By this means smooth boundaries can be easily found to separate different subcategories,...
In this paper we apply particle swarm optimization (PSO) feature selection to enhance Hidden Markov Model (HMM) states and parameters for face recognition systems. Ideal Feature selection for face images based on the idea of collaborative behavior of bird flocking to reduce the feature size and hence recognition time complicity. The framework has been inspected on 400 face pictures of the Olivetti...
Face recognition has broad excitement in the latest trend in image processing. Face recognition refers to identify a specific individual in digital image by analyzing and comparing patterns. It has numerous benefits which attract every sector but there are some issues such as more time consumption and lesser accuracy which degrade the user services. To solve this problem we proposed a highly accurate...
Recent research has established the negative impact of facial cosmetics on the matching accuracy of automated face recognition systems. In this paper, we analyze the impact of cosmetics on automated gender and age estimation algorithms. In this regard, we consider the use of facial cosmetics for (a) gender spoofing where male subjects attempt to look like females and vice versa, and (b) age alteration...
This paper presents an improved approach for face pose estimation based on depth data using particle swarm optimization (PSO). In this approach, the frontal face of the system-user is first initialized and its depth image is taken as a person-specific template. Each query face of that user is rotated and translated with respect to its centroid using PSO to match with the template. Since the centroid...
This paper proposes an effective method to construct a new descriptor for solving face recognition with pose variance. In this method, we use feature of nose and HAT-MARS descriptor to build a combined descriptor for matching between gallery and probe images. For experiments, our method uses only one gallery image on CMU-PIE database. The empirical results show that our method is strong and efficient.
In this paper, we present a new time-domain method that is naturally matrix free, i.e., requiring no matrix solution, regardless of whether the discretization is a structured grid or an unstructured mesh. Its matrix-free property is independent of the element shape used for discretization, and its implementation is straightforward. No interpolations, projections, and mass lumping are required. The...
A procedure allowing conversion of integrals with singular integrands over tetrahedral (volume) and triangular (surface) supports which are present in matrix elements of tensor and vector Green functions with linear basis function to non-singular integrals over tetrahedra surfaces and triangles edges is presented. An advantage of the derived expressions is that they offer simplicity and easily controllable...
In this paper we describe a technique for joint estimation of head pose and multiple soft biometrics from faces (Age, Gender and Ethnicity). Our proposed Multi-Objective Random Forests (MORF) framework is a unified model for the joint estimation of multiple characteristics that automatically adapts the measure of information gain used for evaluating the quality of weak learners. Since facial characteristics...
Trichromacy might have evolved in primates for the purpose of emotion recognition [1]. Emotional states change the quantity of blood and its oxygenation under the skin, which cause subtle changes in skin color to become visible, especially in the face. We manipulated photos of basic emotional expressions so that skin color was either congruent or incongruent (according to [1]) with the expression...
This paper proposes an efficient multimodal face recognition method by combining the textural as well as depth features, extracted from directional faces of input image. Directional faces are obtained using filters which are designed using Local Polynomial Approximation (LPA). The efficient modified Local Binary Pattern (mLBP) operator is used for the feature extraction from optimized directional...
A face recognition algorithm based on a newly developed Transform Domain Mutual Principal Component Analysis (TD-2D-MuPCA) approach is proposed. In this approach, the spatial facial two-dimensional images (2D) and their division into horizontal, vertical and diagonal sub-images halves are generated. The sub-image halves are processed using non-overlapping and overlapping windows. Each face and its...
We develop an accurate 3-D matrix-free time-domain method independent of the element shape used for discretization. The accuracy and stability of the proposed method are shown to be theoretically guaranteed. No dual mesh is needed. The tangential continuity of the fields is satisfied across the element interface. Numerical experiments on unstructured 3-D meshes with arbitrarily shaped tetrahedron...
In this paper, we develop a new time-domain method that is naturally matrix free and independent of element shape used for discretization. No extra modification on traditional vector bases is required. Its implementation is straightforward. The accuracy and stability of the proposed method are shown to be guaranteed. Numerical experiments on a variety of unstructured tetrahedral meshes have validated...
We present Sparse Coding trees (SC-trees), a sparse coding-based framework for resolving misclassifications arising when multiple classes map to a common set of features. SC-trees are novel supervised classification trees that use node-specific dictionaries and classifiers to direct input based on classification results in the feature space at each node. We have applied SC-trees to emotion classification...
We attack the problem of building classifiers for public faces from web images collected through querying a name. The search results are very noisy even after face detection, with several irrelevant faces corresponding to other people. Moreover, the photographs are taken in the wild with large variety in poses and expressions. We propose a novel method, Face Association through Model Evolution (FAME),...
In this paper I will present a technique to generate a digital signature for an image, which will uniquely identify it, using Radon transform. Even if Radon based approaches are broadly applicable to tomography (the construction of an image from the projection data related with cross-sectional scans of it), in this research work I will show how it can be successfully utilized to classify images and...
In this paper, we propose a new temporal coherent face descriptor for video gender recognition. The proposed face descriptor is constructed from detected faces of continuous video frames. Because it describes detected faces under variant changes in continuous video frames and provides a unified feature description, face normalization and alignment processes can be avoided during gender recognition...
Digital Out Of Home (DOOH) applications which exploit computer vision algorithms to automatically collect soft biometrics of people in front a smart screen are of great interest for industry. In the last years many gender recognition pipelines have been proposed in literature. Different benchmark datasets have been introduced and used for testing purpose. This paper gives an overview of the state-of-the-art...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.