SIFT is a scale and rotation invariant feature point extraction algorithm, and it has a high robustness of local feature representation. SIFT expression method is based on the detection of multi-scale extreme points of the difference of Gaussian image pyramid and gradient direction. This article describes a face based on Gabor wavelet transform facial area, and it is depression terrain feature ...

In this paper, we propose a new image morphing algorithm which uses a Navier elastic body splines to generate warp functions for interpolating scattered data points. The spline is based on a partial di erential equation proposed by Navier that describes the equilibrium displacement of an elastic body subjected to forces. The spline maps can be expressed as the linear combination of an a ne tran...

Hand free mouse controlling systems is an effective and essential research area in human computer interaction (HCI), as they can be an ideal communication and interaction means for the physical disabled persons, who don’t have means for communication except their moving eyes. In addition, these types of application provide usability and welfare for the normal users in the computer interaction. ...

or facial 3-D relief) is introduced by using the range image. We propose a method to generate a facial caricature depending on a simple method for corresponding 3-D facial images. In this method, we extract several facial parts regions each of which include facial parts of the face by using both gray and range images. The diagonal comers of the respective extracted regions are used to provide t...

Facial feature points are one of the most important clues for many computer vision applications such as face normalization, registration and model-based human face coding. Hence, automating the extraction of these points would have a wide range of usage. In this paper, we aim to detect a subset of Facial Definition Parameters (FDPs) defined in MPEG-4 automatically by utilizing both 2D and 3D fa...

This paper presents a novel multi-layer deformation (MLD) method for reconstructing animatable, anatomy-based human facial models with minimal manual intervention. Our method is based on adapting a prototype model with the multi-layer anatomical structure to the acquired range data in an ‘‘outside-in’’ manner: deformation applied to the external skin layer is propagated along with the subsequen...

Geometric invariants are important for shape recognition and matching. Existing invariants in projective geometry are typically defined on the limited number (e.g., five for the classical cross-ratio) of collinear planar points and also lack the ability to characterize the curve or surface underlying the given points. In this paper, we present a projective invariant named after the characterist...