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Statistical shape models have become a widely used tool in computer vision and medical image analysis where they are of considerable interest when studying shape variations in anatomical shapes. The objective of this article is to build a 3D statistical shape modeling for a given data; the implemented process goes through those basic steps, first collect the given data then apply the alignment algorithm...
The characteristics of deformation process is unique to LAV (Loitering Aerial Vehicle, LAV), which leads to the redistribution of aerodynamics characteristics, mass center and moment of inertia. In this paper, an analysis method of multi-body dynamics is introduced into the traditional flight dynamics analysis and the six-degree of freedom nonlinear dynamic model of LAV in its deformation process...
Planetary gear train is the most important and expensive component in the power transmission systems. The problem of their minimum weight or minimum volume design has been a subject of many researches. In this paper, we proposed a gear shape optimization methodology in order to obtain a lighter gearbox with respect to a certain criteria related directly to dynamic behavior. To define the optimum weight...
Given multi-view correspondences, it has been shown that 3D non-rigid structure can be recovered through factorization based techniques. However, establishing reliable correspondences across multi-view images of non-rigid structure is not an easy task. Existing methods solve multi-view correspondences and 3D non-rigid structure in sequel, which cannot exploit the crossover constraints in each sub-problem...
Accurate segmentation of 2-D, 3-D, and 4-D medical images to isolate anatomical objects of interest for analysis is essential in almost any computer-aided diagnosis system or other medical imaging applications. Various aspects of segmentation features and algorithms have been extensively explored for many years in a host of publications. However, the problem remains challenging, with no general and...
We consider the problem of deformable object detection and dense correspondence in cluttered 3D scenes. Key ingredient to our method is the choice of representation: we formulate the problem in the spectral domain using the functional maps framework, where we seek for the most regular nearly-isometric parts in the model and the scene that minimize correspondence error. The problem is initialized by...
We present a method for 3D tracking of deformable surfaces with dynamic topology, for instance a paper that undergoes cutting or tearing. Existing template-based methods assume a template of fixed topology. Thus, they fail in tracking deformable objects that undergo topological changes. In our work, we employ a dynamic template (3D mesh) whose topology evolves based on the topological changes of the...
In this paper, we address the problem of temporal alignment of surfaces for subjects dressed in wide clothing, as acquired by calibrated multi-camera systems. Most existing methods solve the alignment by fitting a single surface template to each instant's 3D observations, relying on a dense point-to-point correspondence scheme, e.g. by matching individual surface points based on local geometric features...
This paper proposes a novel 3D Constrained Local Models (CLM) approach applied for the detection of facial landmarks in 3D images. This approach capitalizes on the properties of Independent Component Analysis (ICA) to define appropriate priors of a face Point Distribution Model. Tailored to the mesh manifold modality, this approach address the limitations of the depth images which require pose normalization...
Soft tissue deformation is an important part of virtual surgery simulation systems. Real-time and realistic simulation of soft tissue deformation in humans is crucial for virtual surgery simulation systems. Soft tissue deformation simulation mainly applies a linear and viscoelastic biomechanical model, however, this model loses numerous properties of soft tissue. As a consequence, a realistic representation...
In this paper we present a method of human body reshaping which is based on 2D images. We first reshape a 3D human body from a 2D image by changing the 3D morphable circles in the 3D human body model, and then project the 3D model onto the original 2D plane. There are three main steps in our method. First, we can acquire the human body contour and the limbs information through the marks which were...
The purpose of this paper is to present an overview of existing active contours-based object tracking methods. This restriction to recent active contours-based approaches is voluntary for two main reasons. Firstly, developed active contours models are heterogeneous that we can divide them into several sub-categories which are designed with different information and secondly, an exhaustive review of...
In this paper we introduce a shape descriptor known as Self Similar Affine Invariant (SSAI) descriptor for shape retrieval. The SSAI descriptor is based on the property that two sets of points are transformed by an affine transform, then subsets of each set of points are also related by the same affine transformation. Also, the SSAI descriptor is insensitive to local shape distortions. We use multiple...
The two predominant families of deformable models for the task of face alignment are: (i) discriminative cascaded regression models, and (ii) generative models optimised with Gauss-Newton. Although these approaches have been found to work well in practise, they each suffer from convergence issues. Cascaded regression has no theoretical guarantee of convergence to a local minimum and thus may fail...
Biomedical image segmentation is an active field of research where deformable models have proved to be efficient. The geometric representation of such models determines their ability to approximate the shape of interest as well as the speed of convergence of related optimization algorithms. We present a new tensor-product parameterization of surfaces that offers the possibility of local refinement...
In this paper we introduce Shape Memory Alloy (SMA) for designing the tibial part of Total Knee Arthroplasty (TKA) by exploiting the shape-memory and pseudo-elasticity property of the SMA (e.g. NiTi). This would eliminate the drawbacks of the state-of-the art PMMA based knee-spacer including fracture, sustainability, dislocation, tilting, translation and subluxation for tackling the Osteoarthritis...
Geometric accuracy control is crucial to fulfill the promise of additive manufacturing (AM). The control of the out-of-plane deformation has been a challenge task for AM due to its complex underlying physics. We have been establishing a generic and prescriptive methodology to represent, predict and compensate 3D geometric deformation of AM built products based on a limited number of test cases. Built...
Predictive models for geometric shape deformation constitute an important component in geometric fidelity control for three-dimensional (3D) printing. However, model building is made difficult by the wide variety of possible process conditions and shapes. A methodology that can make full use of data collected on different shapes and conditions, and reduce the haphazard aspect of traditional statistical...
This paper presents a new approach based on extension deformation for extended object tracking (EOT). In this approach, the extension of an object is assumed to be deformed from a reference extension by moving some control points in the latter to those in the former. That is, the properties of an extension can be fully captured by the control points, given the reference extension. Thus, modeling and...
The variation of pressure of the blood is a key parameter in the development of ventricular assist device. This latter is useful in order to synchronize the behavior of the actuator with the cardiac frequency. This paper presents a sensor made of a dielectric electroactive polymer (DEAP). A particularity of this sensor is the special tubular shape, similar to an aorta, which allows to be used for...
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