This paper presents an approach for the detection of human face and eyes in real time and in uncontrolled environments. The system has been implemented on a PC platform with the aid of simple commercial devices such as an NTSC video camera and a monochrome frame grabber. The approach is based on a probabilistic framework that uses a deformable template model to describe the human face. The syst...

In this paper we present a novel algorithm to track the facial features using a deformable triangle model. The face is modeled as an isosceles triangle connecting the eyes and lips which are called as features of interest (FoI). A maximum likelihood estimator is used to estimate the position of such a triangle in the image sequences by maximizing the correlation value of the feature template in...

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This thesis addresses the problem of deformable and articulated structure from motion from monocular uncalibrated video sequences. Structure from motion is defined as the problem of recovering information about the 3D structure of scenes imaged by a camera in a video sequence. Our study aims at the challenging problem of non-rigid shapes (e.g. a beating heart or a smiling face). Non-rigid struc...

Detection of a (deformable) pattern or object is an important machine learning and computer vision problem. The task involves nding a speciic (but locally deformable) patterns in images, such as human faces and eyes/mouths. They have many important commercial applications including ATM, access control, surveillance, video conferencing, and video libraries. Therefore, it has attracted much atten...

This thesis deals with surface extraction from noisy volumetric images, which is a common problem in medical image analysis. Due to noise, the use of a-priori information about surface topology and shape is necessary for automatic surface extraction methods. Deformable surface models can incorporate such geometric knowledge into extraction process which is restated as an energy minimization pro...

In this paper, a six-stage interactive model is presented for the perforation of metallic plates using blunt deformable projectiles when plastic wave propagation in both target and projectile is considered. In this analytical model, it is assumed that the projectile and target materials are rigid – plastic linear work hardened. The penetration of the projectile into the target is divided into s...

We propose a novel deformable model with statistical and deterministic components for LV segmentation in cardiac magnetic resonance (MR) cine images. The statistical deformable component learns a global reference model of the LV using Principal Component Analysis (PCA) while the deterministic deformable component consists of a finite-element deformable surface superimposed on the reference mode...

The recognition of faces has been the focus of an extensive body of research, whereas the preliminary and prerequisite task of detecting a face has received limited attention from psychologists. Four experiments are reported that address the question how we detect a face. Experiment 1 reveals that we use information from the scene to aid detection. In experiment 2 we investigated which features...

This paper presents a system for efficiently tracking a deformable object in 3D. It is based on a model of the target represented as a set of textured features in 3D space and a set of shape bases, which encode the nonrigid modes of deformation. The model is constructed from a monocular sequence of 2D feature tracks using a non-rigid factorization algorithm followed by a non-linear optimization...