In the framework of a Bayesian classifier based on mixtures of gaussians, we address the problem of non-frontal face verification (when only a single (frontal) training image is available) by extending each frontal face model with artificially synthesized models for non-frontal views. The synthesis methods are based on several implementations of Maximum Likelihood Linear Regression (MLLR), as w...

Previous Work: Most of the previous work dealt with frontal faces. [1] used clustering to generate face and non-face prototypes. For each test pattern they calculate the distances between the pattern and the prototypes. These distances form the input to a multi-layer perceptron which classifies the pattern into a face and non-face class. In [2] they used a Support Vector Machine (SVM) with a 2n...

OBJECTIVES To define the dimensions of the frontal sinus in groups standardized for age and gender and to discuss the reasons and the effects of the variations. Methods: Frontal sinus measurements were obtained from paranasal CTscans of 180 males and 180 females in the Radiology Department of Dursun Odabas Medical Center of Yuzuncu Yil University, Van, which is located in Eastern Turkey, betwee...

Deep convolutional neural networks (DCNNs) have achieved human-level accuracy in face identification (Phillips et al., 2018), though it is unclear how accurately they discriminate highly-similar faces. Here, humans and a DCNN performed challenging face-identity matching task that included identical twins. Participants ( N = 87) viewed pairs of images three types: same-identity, general imposter...

This paper proposes a novel adaptive algorithm to extract facial feature points automatically such as eyebrows corners, eyes corners, nostrils, nose tip, and mouth corners in frontal view faces, which is based on cumulative histogram approach by varying different threshold values. At first, the method adopts the Viola-Jones face detector to detect the location of face and also crops the face re...

Frontal sinus fractures are of surgical importance because of the microbial flora covering the frontal air sinus and it's proximity with the duramater and brain. There is an increased risk of meningitis when fracture of the posterior wall of the frontal sinus is associated with a dural tear. In this condition, communication occurs between the contaminated space of the air sinus and the intr...

This paper presents a method for face identification using a query by example approach. Our technique is suitable for use within Ambient Security Environments and is robust across variations in pose, expression and illuminations conditions. To account for these variations, we use a face template matching algorithm based on a 3D head model created from a single frontal face image. Thanks to our ...

This paper presents the robust feature vector selection for multiple frontal face detection based on the Bayesian statistical method. The feature vector for the training and classification are integrated by means, amplitude projections, and its 1D Harr wavelet of input image. And the statistical modeling is performed both for face and nonface classes. Finally, the estimated probability density ...

Editing on digital images is ubiquitous. Identification of deliberately modified facial images is a new challenge for face identification system. In this paper, we address the problem of identification of a face or person from heavily altered facial images. In this face identification problem, the input to the system is a manipulated or transformed face image and the system reports back the det...

We describe a method for estimating new facial views from a single 2D face image. A model has been generated which incorporates two facial views, a frontal view and a 30 degree rotated view. Appearance models for each view of shape and texture have been combined using further principal components analysis to form a multiple view model. Presented with a novel face image in a frontal view, we can...