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...

In this paper, we propose a novel fuzzy 3D face ethnicity categorization algorithm, which contains two stages, learning and mapping. In learning stage, the visual codes are first learned for both the eastern and western individuals using the learned visual codebook (LVC) method, then from these codes we can learn two distance measures, merging distance and mapping distance. Using the merging di...

In this paper, we present a neural-network learning scheme for face reconstruction. This scheme, which we called as Smooth Projected Polygon Representation Neural Network (SPPRNN), is able to successively refine the polygon’s vertices parameter of an initial 3D shape based on depth-maps of several calibrated images taken from multiple views. The depth-maps, which are obtained by deploying Tsai-...

The 3D shape reconstruction, from 2D images is an converse problem, and is therefore mathematically poorly posed. The solution to 3D shape reconstruction problem is to using a model based approach. Our paper presents an analysis by synthesis method for solving3D face reconstruction problems, using the anatomical landmarks and intensity from 2D frontal face images. To improve the quality of 3D s...

In comparison with 2D face images, 3D face models have the advantage of being illumination and pose invariant, which provides improved capability of handling changing environments in practical surveillance. Feature detection, as the initial process of reconstructing 3D face models from 2D uncalibrated image sequences, plays an important role and directly affects the accuracy and robustness of t...

1 Student, Computer Engg. Dept.,Vidyalankar Institute of Technology, University of Mumbai. 2 Associate Professor, Computer Engg. Dept.,Vidyalankar Institute of Technology, University of Mumbai. ___________________________________________________________________________ Abstract:In the area of face recognition systems, features especially nose tip has less significant attention for smoothing. Th...

With the rapid development of 3D imaging technology, face recognition using 3D range data has become another alternative in the field of biometrics. Unlike face recognition using 2D intensity images, which has been studied intensively by many researchers since the 1960’s, 3D range data records the exact geometry of a person and it is invariant with respect to illumination changes of the environ...

We propose an efficient system for realistic speech animation. The system supports all steps of the animation pipeline, from the capture or design of 3D head models up to the synthesis and editing of the performance. This pipeline is fully 3D, which yields high flexibility in the use of the animated character. Real detailed 3D face dynamics, observed at video frame rate for thousands of points ...

Pose, illumination, expression and the generalization of such effects to unseen face data samples are the fundamental problems faced in face recognition. The significant contribution of this thesis is the ability to match any two face images with a large pose angle variation. This approach utilizes a proposed 3D prior face model in order to cover a wide range of poses. To achieve this, a rapid ...

by Kyong I. Chang Multiple modality biometric approaches are proposed integrating two-dimensional face appearance with ear appearance, three-dimensional face shape, and the pattern of heat emission on face. A single source biometric recognition method, such as face, has been shown to improve its identification rate by incorporating other biometric sources. The investigation of multi-modal biome...