运动估计算法预测搜索起始点

高精度的预测搜索起始点方法可以减少运动估计算法的搜索点数,提高搜索速度和精度.对中值,均值,左块,SAD比较等方法进行了理论介绍和实验分析,提出一种新的预测搜索起始点方法.该方法足利用相邻块运动矢量的相关性和运动矢最的偏向分布特征给相邻块分配不同的权重来预测搜索起始点.实验结果表明对不同种类的标准测试序列新方法比其它方...     

一种自适应的基于中心偏置特性的矩形搜索方法

H.264编码标准中为了得到更高的压缩比,针对计算量比较大的运动估计部分,采用了六边形运动估计算法。与全搜索算法相比,六边形算法减少了搜索时间,但是,六边形算法采用了固定的模板及固定的搜素步骤,没有充分的利用到视频图像的中心偏置特性。充分利用视频图像的中心偏置特性,提出了一种新的矩形搜索算法,使搜索具有自适应特性,试验表明,在图像质量保持不变的条件下,该算法的搜索速度大幅提高。     

基于局部先验模型的单目视频人体运动跟踪

在基于模型的单目视频人体运动跟踪中,视频图像信息往往不足以恢复人体姿态,通常需要加入对姿态的先验约束才能得到合理的解.为了有效地刻画人体运动过程的时变动态特征,提出局部先验模型,其中包括局部动态过程和局部姿态分布密度,通过在样本空间中检索出相似姿态的集合,并利用该集合学习模型参数来比较精确地刻画人体的运动规律.实验结果表明,与全局动态模型相比,局部先验模型有效地克服了肢体自遮挡和肢体混淆等问题,取得了更好的跟踪结果.     

基于EON的虚拟运动仿真平台设计与实现

传统的三维CAD软件在机构运动仿真可视化方面效果局限。为了提高仿真的交互性,在虚拟现实开发平台EONStudio中,利用JScript功能节点实现机构各部分运动参数的传输,并设计EAI接口与外部程序之间进行通讯,将机构实时运动参数反馈给用户,根据用户指定的机构参数生成直观的图像。以VC＋＋6.0为开发工具,开发了具有交互功能的发动机常见的曲柄滑块机构仿真平台。结果表明,该系统能够逼真地模拟曲柄滑块机构的运动过程,为虚拟仿真可视化的发展提供了参考。     

A survey of shaped-based registration and segmentation techniques for cardiac images

Heart disease is the leading cause of death in the modern world. Cardiac imaging is routinely applied for assessment and diagnosis of cardiac diseases. Computerized image analysis methods are now widely applied to cardiac segmentation and registration in order to extract the anatomy and contractile function of the heart. The vast number of recent papers on this topic point to the need for an up to date survey in order to summarize and classify the published literature. This paper presents a survey of shape modeling applications to cardiac image analysis from MRI, CT, echocardiography, PET, and SPECT and aims to (1) introduce new methodologies in this field, (2) classify major contributions in image-based cardiac modeling, (3) provide a tutorial to beginners to initiate their own studies, and (4) introduce the major challenges of registration and segmentation and provide practical examples. The techniques surveyed include statistical models, deformable models/level sets, biophysical models, and non-rigid registration using basis functions. About 130 journal articles are categorized based on methodology, output, imaging system, modality, and validations. The advantages and disadvantages of the registration and validation techniques are discussed as appropriate in each section.     

Tangential Gap Flow (TGF) navigation: A new reactive obstacle avoidance approach for highly cluttered environments

This paper presents a novel reactive collision avoidance method for mobile robots moving in dense and cluttered environments. The proposed method, entitled Tangential Gap flow (TGF), simplifies the navigation problem using a divide and conquer strategy inspired by the well-known Nearness-Diagram Navigation (ND) techniques. At each control cycle, the TGF extracts free openings surrounding the robot and identifies the suitable heading which makes the best progress towards the goal. This heading is then adjusted to avoid the risk of collision with nearby obstacles based on two concepts namely, tangential and gap flow navigation. The tangential navigation steers the robot parallel to the boundary of the closest obstacle while still emphasizing the progress towards the goal. The gap flow navigation safely and smoothly drives the robot towards the free area in between obstacles that lead to the target. The resultant trajectory is faster, shorter and less-oscillatory when compared to the ND methods. Furthermore, identifying the avoidance maneuver is extended to consider all nearby obstacle points and generate an avoidance rule applicable for all obstacle configurations. Consequently, a smoother yet much more stable behavior is achieved. The stability of the motion controller, that guides the robot towards the desired goal, is proved in the Lyapunov sense. Experimental results including a performance evaluation in very dense and complex environments demonstrate the power of the proposed approach. Additionally, a discussion and comparison with existing Nearness-Diagram Navigation variants is presented.     

虚拟联合仿真平台下的非线性系统运动控制问题研究

本文结合机械领域的虚拟样机软件-ADAMS和当前使用最为广泛的数值计算软件-MATLAB，创建了一类典型的非线性自然不稳定系统-三级倒立摆的联合仿真平台。在此基础上，通过联合仿真研究被控对象在各种初始条件和参数条件下的运动控制问题，得到了非线性控制对象运动控制研究中的一系列结论。本文也为非线性系统的控制问题研究及控制理论验证提供了一种有效的途径。     

On the Spectral Density of the Wavelet Transform of Fractional Brownian Motion

We consider the wavelet transform { W _a ( t ), −∞ < t } < ∞}, at scale a > 0, of a fractional Brownian motion. A simple and mathematically rigorous proof is given to establish the existence of the spectral density f _Wa (λ) of the wavelet transform and provide an expression for it.     

Guest-host interactions in zeolites as studied by NMR spectroscopy: implications in synthesis,catalysis and separations

The intermolecular forces between occluded organic molecules and the atoms that bound the pores of zeolite structures determine the catalytic activity and diffusivity of the guest molecules. These organic-inorganic forces are also a crucial aspect of the process of structure-direction in zeolite synthesis. A molecular understanding of guest-host interactions can often be deduced by using NMR spectroscopy to study the rotational motion of the occluded molecules. This contribution is an overview of systems where NMR, particularly deuterium NMR, has been used to quantify the forces which exist between occluded organic molecules and the zeolite structure. Systems that are relevant to synthesis, separations, and catalysis are discussed. The works presented show that NMR is a powerful tool for studying guest-host interactions in zeolitic materials. A molecular level understanding of the nature and relative importance of the various forces discussed should lead to a more rational basis for the selection and development of zeolitic materials used in catalytic and adsorption applications. This revised version was published online in August 2006 with corrections to the Cover Date.