Face alignment using deformable face model has attracted broad interest in recent years for its wide range of applications in facial analysis. Previous work has shown that discriminative deformable models have better generalization capacity compared to generative models [8, 9]. In this paper, we present a new discriminative face model based on boosting pseudo census transform features. This fea...

The term Deformable Model describes a group of computer algorithms and techniques widely used in computer vision today. They all share the common characteristic that they model the variability of a certain class of objects (In biometrics this could be the class of all faces, or of all hands, or all eyes, etc.). Today, different representations of the object classes are commonly used. Earlier al...

A major drawback of statistical models of non-rigid, deformable objects, such as the active appearance model (AAM), is the required pseudo-dense annotation of landmark points for every training image. We propose a regression-based approach for automatic annotation of face images at arbitrary pose and expression, and for deformable model building using only the annotated frontal images. We pose ...

In this paper, there are two main topics to generate a 3D facial model from 2D face images. The first topic is to extract facial components such as eyebrows, eyes, nose, ear, mouth and face contour on the face images, and the second is to create 3D individualized face model using extracted facial components information at previous step. The generated final face model has an individualized shape...

Face and facial expressions play essential roles in interpersonal communication. Most of the current works on the facial expression recognition attempt to recognize a small set of the prototypic expressions such as happy, surprise, anger, sad, disgust and fear. However the most of the human emotions are communicated by changes in one or two of discrete features. In this paper, we develop a faci...

"Deformable Part Model" (DPM) based on "Histograms of Oriented Gradients" (HOG) is known as a robust shape detection algorithm, especially for human body detection. For cat face detection, HOG has been applied since they are quite uniform regardless of the bleed. However, in general, dog faces show larger variation than cat faces. Therefore, we assumed that DPM may work well to the dog face var...

The paper proposes a novel, pose-invariant face recognition system based on a deformable, generic 3D face model, that is a composite of: (1) an edge model, (2) a color region model and (3) a wireframe model for jointly describing the shape and important features of the face. The 4rst two submodels are used for image analysis and the third mainly for face synthesis. In order to match the model t...

This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using deformable 3D models. For each frame, the proposed adaptation is split into two consecutive stages: global and local. In the first stage, the 3D pose of the face is recovered using a RANSAC-based technique involving both the consensus measure and the consistency with a statistical mod...