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...

Model-based face analysis is a general paradigm with applications that include face recognition, expression recognition, lipreading, head pose estimation, and gaze estimation. A face model is first constructed from a collection of training data, either 2D images or 3D range scans. The face model is then fit to the input image(s) and the model parameters used in whatever the application is. Most...

This paper presents a 3D face reconstruction method using multiple 2D face images. Structure from motion (SfM) methods, which have been widely used to reconstruct 3D faces, are vulnerable to point correspondence errors caused by self-occlusion. In order to solve this problem, we propose a shape conversion matrix (SCM) which estimates the ground-truth 2D facial feature points (FFPs) from the obs...

3D face recognition technique has gained much more attention recently, and it is widely used in security system, identification system, and access control system, etc. The core technique in 3D face recognition is to find out the corresponding points in different 3D face images. The classic partial Iterative Closest Point (ICP) method is iteratively align the two point sets based on repetitively...

In this paper, we describe a new approach for estimating and tracking three-dimensional (3D) pose of a human face from the face images obtained from a single monocular view with full perspective projection. We assume that the shape of a 3D face can be approximated by an ellipse and that the aspect ratio of 3D face ellipse is given. Given a monocular image of a face, we ®rst perform an ellipse d...

Inverse rendering in a 3D format denoted to recovering the 3D properties of a scene given 2D input image(s) and is typically done using 3D Morphable Model (3DMM) based methods from single view images. These models formulate each face as a weighted combination of some basis vectors extracted from the training data. In this paper a deep framework is proposed in which the coefficients and basis ve...

With the development of computer vision and computer graphics, face recognition technology has gradually developed from 2D to 3D. Using in-depth information of faces, 3D face recognition solves and overcomes the environment and changes in the expression that 2D face recognition encounters. In this paper, the principles of laser triangulation measurement applied in 3D detection and modeling of f...

We present a novel approach to view and pose invariant face recognition that combines two recent advances in the computer vision field: component-based recognition and 3D morphable models. In a first step a 3D morphable model is used to generate 3D face models from only two input images from each person in the training database. By rendering the 3D models under varying pose and illumination con...

In this paper we propose a sketch-based interface for drawing and generating a realistic 3D human face with texture. The free form sketch-based interface allows a user to intuitively draw a portrait as in traditional pencil sketching way. Then, the user’s drawing is automatically reshaped to an accurate natural human facial shape with the guidance of a statistical description model, and an arti...

The 2D face recognition systems encounter difficulties in recognizing faces with illumination variations. The depth map of the 3D face data has the potential to handle the variation in illumination of face images. The view variations are handled by using the moment invariants. Moment Invariants are used as rotation invariant features of the face image. For feature matching an efficient fuzzy-ne...