Although a lot of promising research findings have been studied on 3D face modeling in the past years, it is still a challenge to generate realistic 3D human face models and facial animations. This paper presents a novel approach to model 3D faces automatically from still images or video sequences without manual interactions. Our proposed scheme comprises three steps. First, we offline construc...

in this paper, a novel patch geodesic derivative pattern (pgdp) describing the texture map of a face through its shape data is proposed. geodesic adjusted textures are encoded into derivative patterns for similarity measurement between two 3d images with different pose and expression variations. an extensive experimental investigation is conducted using the publicly available bosphorus and bu-3...

Title of Thesis: CONTOUR BASED 3D FACE MODELING FROM MONOCULAR VIDEO Himaanshu Gupta, Master of Science, 2003 Thesis directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering Constructing 3D models from video is one of the most important problems in computer vision. We propose a novel 3D face modeling approach from monocular video captured by a conventional camera....

In this paper, a noble nonintrusive three-dimensional (3D) face modeling system for random-profile-based 3D face recognition is presented. Although recent two-dimensional (2D) face recognition systems can achieve a reliable recognition rate under certain conditions, their performance is limited by internal and external changes, such as illumination and pose variation. To address these issues, 3...

This article presents the topic of Three Dimensional facial reconstruction approaches and some used methods. In this paper, we implement three-dimensional facial reconstruction algorithms based on various face databases using single image as an input and analyzing their performance on several aspects. Researchers proposed many applications for this issue, but most have their drawbacks and limit...

Using 2D images is one of the most common techniques for the reconstruction of 3D face models. In this paper, we compare the strengths and weaknesses of different image processing techniques for 3D face generation. It is anticipated that the optimal solution will be applied in the future for 3D face analysis and synthesis. This paper presents binocular stereo using stereo correspondence algorit...

Principle Component Analysis (PCA)-based statistical 3D face modeling using example faces is a popular technique for modeling 3D faces and has been widely used for 3D face reconstruction and face recognition. The capability of the model to depict a new 3D face depends on the exemplar faces in the training set. Although a few 3D face databases are available to the research community and they hav...

Face Recognition: face in video, age invariance, and facial marks By Unsang Park Automatic face recognition has been extensively studied over the past decades in various domains (e.g., 2D, 3D, and video) resulting in a dramatic improvement. However, face recognition performance severely degrades under pose, lighting and expression variations, occlusion, and aging. Pose and lighting variations a...