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The concept of rectangular duals[1-4] provides an interesting approach to VLSI floor-plan in terms of a hierarchical design strategy. In order to determine the shape and relative position of each functional block (or “macro”), the approach uses more global information concerning not only interconnection requirements among functional blocks but also the total chip area, as compared with the conventional...
In modern days the demand for biometrics increases rapidly. The world still needs to solve many problems and answer to lot of questions regarding to biometrics for creating better solutions for recognition and verification of objects. Biometrics has become really important topic of our security. Number of input samples per person affects recognition in modern algorithms used for face recognition....
In this paper a new method for continuous pain detection is proposed. One approach to detect the presence of pain is by processing images taken from the face. It has been reported that expression of pain from the face can be detected utilizing Action Units (AUs). In this manner, each action units must be detected separately and then combined together through a linear expression. Also, pain detection...
Gender recognition from face images is an important application in the fields of security, retail advertising and marketing. We propose a novel descriptor based on COSFIRE filters for gender recognition. A COSFIRE filter is trainable, in that its selectivity is determined in an automatic configuration process that analyses a given prototype pattern of interest. We demonstrate the effectiveness of...
Head detection may be more demanding than face recognition and pedestrian detection in the scenarios where a face turns away or body parts are occluded in the view of a sensor, but locating people is needed. In this paper, we introduce an efficient head detection approach for single depth images at low computational expense. First, a novel head descriptor is developed and used to classify pixels as...
In this paper, we present an experiment in the context of a child-robot interaction where we study the influence of the child-robot spatial arrangement on the child's focus of attention and the perception of the robot's performance. In the “Co-Writer learning by teaching” activity, the child teaches a Nao robot how to handwrite. Usually only face-to-face spatial arrangements are tested in educational...
This work shows a system oriented to generate a deformation and transformation of human faces between two images by applying Active Shape Models (ASM). The software was developed on Visual Studio and the free OpenCV libraries was used. The first step was to build an ASM model based on the Yao Wei's algorithm. To create the ASM model, the IMM face database, from the Technical University of Denmark,...
With the rapidly growing in number of service providers and service users, as a result, there are three important issues that we now have to deal: Firstly, we face challenges with increasing large data sets. Secondly, many Web service providers have similar functionality but differ in quality properties and services. Finally, there will have many number of missing QoS values in history records. Therefore,...
Facial surgeries are inevitably increasing in the modern society due to factors such as consciousness for beauty/appearance either to correct the deformed structure as a result of the injury, trauma or natural process of aging. These surgical changes in the facial structure result in modified appearance of a person, which cannot be modelled using morphological or mathematical approaches. These changes...
Stereo reconstruction from image pairs is a standard method for 3D acquisition of human faces. Depending on available imagery and accuracy requirements the resulting 3D reconstructions may have deficits. In this work we remedy such deficits combining the 3D stereo reconstruction with a generic Morphable Model. Prior shape information can be obtained by already developed methods, which uses landmarks...
Craniofacial superimposition is a forensic identification method involving the overlay of a skull over the available ante-mortem photographs of a candidate missing person face and the subsequent analysis of their anatomical correspondence. Within this process, the decision making stage focuses on determining the degree of support of being the same person or not based on the analysis of some criteria...
A smile is a common human facial expression used as the indicator for positive emotion. The detection of smiling has many applications, for example, controlling camera shutter when a smile is detected and measuring the degree of satisfaction during a video conference. Many feature extraction methods have been proposed for detecting a smile in the unconstrained scenarios. However, the dimensions of...
In this study, we present a new approach to the problem of face classification, which relies on the linguistic description of the facial features. In this method, face descriptors are represented through the Analytic Hierarchy Process (AHP) and formalized as information granules. Moreover, neural networks are used to construct efficient classifiers. Furthermore, with usage of AHP we realize a transition...
Expressions are commonly presented through the motions of different facial regions, thus the selection of discriminative features from prominent regions is crucial to the expression recognition. This paper proposes a novel method for facial expression recognition by exploring the most salient regions for each expression. The main contribution of this paper is using the complete feature set of expressions...
This paper presents a system to recognize face by a variation of LBPH. We use a method of regression of local binary features to get the landmark of face image whose computational complexity is very low. We utilize these landmark points which can be trained to align the face, to extract the facial features. By calculating the Local Binary Patterns Histogram (LBPH) of these landmark points and its...
Estimating the 3D shape information of a face from a single image is a challenging task, especially when the input image is captured under unconstrained scenarios (e.g., variations of pose, illumination, expression, or even disguise). Previous approaches to this problem typically require careful initialization, registration, or segmentation of the face image regions. With the objective to match the...
Pose and illumination are considered as two main challenges that face recognition system encounters. In this paper, we consider face recognition problem across pose and illumination variations, given small amount of training samples and single sample per gallery (a.k.a., one shot classification). We combine the strength of 3D models in generating multiviews and various illumination samples and the...
In this paper, we present a new learning based 3D face reconstruction approach based on robust cascaded regression to reconstruct the 3D face from a single 2D frontal face image. The approach represents the regression between 2D and 3D faces with a strong regressor which is comprised of a number of trained weak regressors (ferns) in additive way, with each fern calculating the regression between 2D...
Wide acceptance of biometrics as an authentication mode has led to investigation of multiple modalities such as face, periocular, iris for the long term robustness. Due to various deformities arising out of deteriorating health, need for enhancing the beauty by choice or to fix the injury as a result of trauma or aging, people tend to undergo surgery. However, such surgeries do not guarantee the restoration...
The use of non-negative matrix factorisation (NMF) on 2D face images has been shown to result in sparse feature vectors that encode for local patches on the face, and thus provides a statistically justified approach to learning parts from wholes. However successful on 2D images, the method has so far not been extended to 3D images. The main reason for this is that 3D space is a continuum and so it...
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