Face recognition based on the analysis of 3D scans has been an active research subject over the last few years. However, the impact of the resolution of 3D scans on the recognition process has not been addressed explicitly yet being of primal importance after the introduction of a new generation of low cost 4D scanning devices. These devices are capable of combined depth/rgb acquisition over ti...

In this paper, we propose an original framework for description and matching of three dimensional faces for recognition. Basic traits of a face are encoded by extracting iso-geodesic stripes from the surface of a face model. A compact representation is constructed through a modeling technique capable to express the basic shape of iso-geodesic stripes and quantitatively measure their spatial rel...

Face recognition in video has gained wide attention due to its role in designing surveillance systems. One of the main advantages of video over still frames is that evidence accumulation over multiple frames can provide better face recognition performance. However, surveillance videos are generally of low resolution containing faces mostly in non-frontal poses. Consequently, face recognition in...

The objective of this thesis is to model and render complex scenes or objects from multiple images taken from different viewpoints. Two approaches to achieve this objective were investigated in this thesis. The first one is for known objects with prior geometrical models, which can be deformed to match the objects recorded in multiple input images. The second one is for general scenes or object...

This paper describes the automated creation of a textured face mask of a natural person suitable for realtime animation. A 3D surface polygon face mask is used. A set of muscles is defined to animate the mask. The mask is adapted to a real person using 3D surface data from a calibrated stereo sensor. Firstly, the facial features of the mask are aligned to the 3D data by scaling the mask. Second...

We have developed a fast generation system for personalized 3D face model and plan to apply it in network 3D games. This system uses one video camera to capture player’s frontal face image for 3D modeling and dose not need calibration and plentiful manual tuning. The 3D face model in games is represented by a 3D geometry mesh and a 2D texture image. The personalized geometry mesh is obtained by...

To deal with image variations due to illumination problem, recently Ramamoorthi and Basri have independently derived a spherical harmonic analysis for the Lambertian reflectance and linear subspace. Their theoretical work provided a new approach for face representation, however both of them had the assumption that the 3D surface normal and albedo are known. This assumption limits this algorithm...

We propose a fast 3D model acquisition system that aligns intensity and depth images, and reconstructs a textured 3D mesh. 3D views are registered with shape alignment based on intensity gradient constraints and a global registration algorithm. We reconstruct the 3D model using a new Cubic Ray Projection merging algorithm which takes advantage of a novel data structure: the linked voxel space. ...

Effects of shading in face recognition have often alluded to 3D shape processing. However, research to date has failed to demonstrate any use of important 3D information. Stereopsis adds no advantage in face encoding [Liu, C. H., Ward, J., & Young, A. W. (in press). Transfer between 2D and 3D representations of faces. Visual Cognition], and perspective transformation impairs rather than assists...

this study deals with the 3d recovering of magnetic susceptibility model by incorporating the sparsity-based constraints in the inversion algorithm. for this purpose, the area under prospect was divided into a large number of rectangular prisms in a mesh with unknown susceptibilities. tikhonov cost functions with two sparsity functions were used to recover the smooth parts as well as the sharp ...