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Makeup can be used to alter the facial appearance of a person. Previous studies have established the potential of using makeup to obfuscate the identity of an individual with respect to an automated face matcher. In this work, we analyze the potential of using makeup for spoofing an identity, where an individual attempts to impersonate another person's facial appearance. In this regard, we first assemble...
Face detection and tracking have wide applications, for example, law enforcement, gaming, image search, marketing, etc. The detection and tracking tasks are quite challenging. Tracking the face in an image includes gender identification and segmenting the face using the skin color. In the past, many methods have been proposed to identify a face in videos, such as feature-based detection, skin color...
Facial makeup has the ability to alter the appearance of a person. Such an alteration can degrade the accuracy of automated face recognition systems, as well as that of meth-ods estimating age and beauty from faces. In this work, we design a method to automatically detect the presence of makeup in face images. The proposed algorithm extracts a feature vector that captures the shape, texture and color...
This paper proposes a novel use of 2D barcodes to store biometric data, in particular for facial recognition, which represents one of the least invasive biometric techniques. To accomplish this, we deploy 2D color barcodes, which allow larger storage capabilities than traditional 2D barcodes. To improve the quality of facial recognition, we combine local feature descriptors, such as SURF descriptors,...
Art metrics, a field of study that identifies, classifies and authenticates virtual reality avatars and intelligent software agents, has been proposed as a tool for fighting crimes taking place in virtual reality communities and in multiplayer game worlds. Forensic investigators are interested in developing tools for accurate and automated tracking and recognition of avatar faces. In this paper, we...
We propose a novel hierarchical structured prediction approach for ranking images of faces based on attributes. We view ranking as a bipartite graph matching problem; learning to rank under this setting can be achieved through structured prediction techniques that directly optimize the matching measures. Our key contribution is a novel model that combines structured predictors for different feature...
Facial rejuvenation has driven a lot of research in the field of dermatology and plastic surgery, leading to many medical procedures. This paper proposes an age prediction method that could be used to better understand the ageing process and to evaluate the benefits of a rejuvenating treatment, for example. A supervised Facial Model (SFM) is built using Partial Least Squares regression (PLSR) to capture...
Traditionally lip features have been used in speech recognition, but lately they have also been found useful as a biometric identifier. Since this application of lip features is relatively recent, several limitations can be observed. Firstly, majority of the research has focused on using physical attributes of the lips, such as shape and appearance. Secondly they have experimented on comparatively...
This paper proposes a face occlusion verification method for an automated teller machine (ATM) application. The proposed method mainly consists of three steps. Firstly, a head and shoulder shape is detected by applying B-spline active contour to motion edges. This motion edge is generated by a kurtosis-based frame selection and distance transformation-based motion edge detection. Secondly, a face...
In this paper, we present a new improved Active Shape Model (ASM) for facial feature points extraction. ASM performance is often influenced by some factors such as initial position, illumination, pose, etc, which frequently lead to the local minima in optimization. The original ASM has two sub-models: global shape model and local texture model, we proposed two improved methods for the shortcomings...
Active shape model statistically represents a shape by a set of well-defined landmark points and can model object variations using principal component analysis. However, the shape generated by standard active shape model is unsmooth when the test sample has a large variation compared with the training images. In this paper, we introduce a robust active shape model for facial feature location. First,...
This paper proposes a novel face detection method that finds tiny faces located at a long range even with low-resolution input images captured by a moving robot. The proposed approach can locate extremely small-sized face regions of 12x12 pixels by combining the results from mean-shift color tracking, short- and long-range face detection, and omega shape detection. According to the experimental results...
This paper presents an automatic face replacement approach in video based on 2D morphable model. Our approach includes three main modules: face alignment, face morph, and face fusion. Given a source image and target video, the Active Shape Models (ASM) is adopted to source image and target frames for face alignment. Then the source face shape is warped to match the target face shape by a 2D morphable...
In this paper, we present a full-automatic Spatio-Temporal GrabCut human segmentation methodology. GrabCut initialization is performed by a HOG-based subject detection, face detection, and skin color model for seed initialization. Spatial information is included by means of Mean Shift clustering whereas temporal coherence is considered by the historical of Gaussian Mixture Models. Moreover, human...
In this paper, we propose age and gender estimation system by vairous features. Age and gender has a lot of characteristics. These characteristics are one of the difficult cognitive process in human interaction. If we can extract the important feature of this cognitive process, it is considered that the age and gender estimation by the machine becomes possible. Therefore, we propose a method of age...
We propose a subspace based method for quantitative analysis of facial appearance. We first collect both natural and cosmetic female facial images and then construct a subspace of female facial images using principal component analysis (PCA). We divide the subspace into two subspaces: one is global subspace which is constructed by eigenvectors with larger eigenvalues and another one is local subspace...
The face detection problem has attracted wide attention. Some achievements have been obtained in the past decade. The paper presented a novel algorithm of face detection based on segmentation of human faces in color image. The number of human can be counted and can be used to control the lights in a classroom to be all turned on or not based on proposed method in the paper. First, this paper constructs...
A method based on curvature scale space to detect human head is proposed. The presented algorithm analyzes the head shape, and then gets the features different from other parts. Under the curvature scale space frame, the curvature of each point on the contour is calculated, combining the special features of head shape to detect the head. Experimental results show that the presented method can detect...
In this paper, we present an automatic face replacement approach in photographs based on Active Shape Models (ASM). Our replacement algorithm has three main modules: face alignment, face morph, and seamless blending. First, given an input and target image, we automatically implement face alignment using ASM. Second, we fit a morphable 2D model to the input face, and warp its shape to match the target...
In this paper, a hybrid algorithm for precise eyes localization in color facial region is presented. In practice, most eye detection suffer from the influence of illumination and face pose. Multiple techniques are integrated in this algorithm to overcome these limitations, such as color space mapping, illumination correction, mouth detection, dynamic threshold and so on. The scheme consists of two...
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