This paper proposes a new virtual reality telecommunication system (VRTS) terminal known as 3D videophone to realize satisfactory face-to-face communication. The 3D effects that can be felt through the system, which are mainly based on the protruding images on the screen are highlighted and evaluated. The preliminary evaluation is to verify that 3D moving images are closer to natural compared t...

This paper presents the detection of 3D pose of moving humans heads. The contribution of this work is the conjunction of an e ective preprocessing method and a strong estimation Kalman technique which uses less noise sensitive 3D line observations. The procedure involves the detection of the target face in any type of background using color histograms. To outline the face we use a minimization ...

In this paper we propose a system for 3D face reconstruction from 2D stereo images. Two different stereo matching algorithms are presented; the first is a local method that finds the correspondences of 15 most characteristic facial fiducial points, whose 3D reconstruction allows us to deform a parameterized sparse model. The second method employs a snake grid algorithm which minimizes a multi-r...

Super-resolution is a technique to restore the detailed information from the degenerated data. Lots of previous work is for 2D images while super-resolution of 3D models was little addressed. This paper focuses on the super-resolution of 3D human faces. We firstly extend the 2D image pyramid model to the progressive resolution chain (PRC) model in 3D domain, to describe the detail variation dur...

Generating realistic 3D human face models and facial animations has been a persistent challenge in computer graphics. We have developed a system that constructs textured 3D face models from videos with minimal user interaction. Our system takes images and video sequences of a face with an ordinary video camera. After five manual clicks on two images to tell the system where the eye corners, nos...

This paper explores the use of multi-instance enrollment as a means to improve the performance of 3D face recognition. Experiments are performed using the ND-2006 3D face data set which contains 13,450 scans of 888 subjects. This is the largest 3D face data set currently available and contains a substantial amount of varied facial expression. Results indicate that the multi-instance enrollment ...

Given video footage of a person's face, we present new techniques to automatically recover the face position and the facial expression from each frame in the video sequence. A 3D face model is fitted to each frame using a continuous optimization technique. Our model is based on a set of 3D face models that are linearly combined using 3D morphing. Our method has the advantages over previous tech...

3D face has been introduced in the literature to deal with the unsolved issues of 2D face recognition, namely lighting and pose variations. In this paper, we study and compare the distinctiveness of features extracted from both the registered 2D face images and 3D face models. Sparse Representation Classifier (SRC) is exploited to calculate all similarity measures which are compared with the on...

This work analyses dense and sparse 3D Deformation Signatures to represent temporal deformation instances. The signatures are employed in dynamic face recognition, however, they applicable other domains. is demonstrated for expression recognition. pushing need non-intrusive bio-metric measurements made its expressions recognition dominant players domains like entertainment, surveillance securit...

Abrupt performance degradation caused by face pose variations has been one of the bottlenecks for practical face recognition applications. This paper presents a practical pose normalization technique by using a generic 3D face model as a priori. The 3D face model greatly facilitates the setup of the correspondence between non-frontal and frontal face images, which can be exploited as a priori t...