Face is a primary focus of attention in social intercourse, playing a major role in conveying identity and emotion. Human face recognition plays an important role in many user authentication applications in the modern world. Facial expression recognition can be utilized for automated analysis of human emotion. The system is commenced on convolving a face image after preprocessing the image at d...

The Robustness of Facial Expression Recognition (FER) is based on information contained in color facial images. The Tensor Perceptual Color Framework (TPCF) enables multilinear image analysis in different color spaces. This demonstrates that the color components provide additional information for robust FER. By using this framework color components RGB, YCbCr, CIELab or CIELuv space of color im...

Facial micro-expression is a superposition of features and identity information subject. For the problem interference in recognition, this study proposes new method for facial recognition by de-identity information, called two-stream difference network (TSDN). First, encoder-decoder trained convolutional neural network, where input stream image, image. The image apex onset sequence. are recorde...

AbstractWe propose VecGAN, an image-to-image translation framework for facial attribute editing with interpretable latent directions. Facial task faces the challenges of precise controllable strength and preservation other attributes image. For this goal, we design by space factorization each attribute, learn a linear direction that is orthogonal to others. The component change, scalar value. I...

The detection of facial features is a necessary step for a wide range of applications e.g. person veriication, lipreading and model-based face coding. Due to changes in illumination, visual angle and facial expressions , the variability of facial features in their appearance is high. A robust approach to facial feature detection has to handle these variations. In this framework, we present an a...

3D facial synthesis has been an intensive research topic in both image processing and computer graphics. So far common facial synthesizing methods were either statistic model based or laser range scanner (LRS) based. However, these methods could only provide approximate models. In this paper, we present a Magnetic Resonance Image (MRI) based 3D facial synthesizing approach, which can build accu...

In this paper, we present a novel method to detect a human skin region from a given head and shoulder image. The presented method consists of two stages: region segmentation and facial region detection. In the region segmentation, the input image is segmented into an appropriate set of arbitrary regions using the wavelet-based watershed algorithm. Then, to merge the regions forming an object, w...

This paper presents a facial modeling approach for automating the head-and-shoulder image sequence generation for digital TV news video clips production which is the most expensive part in terms of manpower and cost. With the IPA phonetics transcribed from news script being the driving parameter, the high precise adapted 2-D wireframe model on a frontal view of speaker image with sufficient fac...

While face and facial feature detection is an important and popular problem in image processing and algorithm development, the work presented here is far less important. Here I attempt to build on existing methods of face detection and facial feature detection in order to automate and customize an old practical joke where one scribbles facial hair onto a picture of friends, celebrities, or even...