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eternal object相关的网络例句

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与 eternal object 相关的网络例句 [注:此内容来源于网络,仅供参考]

In this paper, the theory, algorithm, and experiment of automatic object detection and tracking are studied in depth. It is firstly pointed out that the essential of Mean Shift method is a special Newton-Gaussian method. A new method named Fast Mean Shift is established to stretch the conservative step of Mean Shift method. The convergence and validity of this new method are proved in theory. And it is also proved that the convergence speed of Fast Mean Shift is faster than that of Mean Shift. The contrast experiments of searching the maximum possibility density of random of data sets in plane and 3D space are done. The results show that this new method can reduce the iterations greatly. A new object tracking method based on Fast Mean Shift is built to improve the object tracking performance, which is shown in the face tracking experiment with the tennis sequence provided by the Ohio State University, and the car tracking experiment with the car sequence provided by Kalsruhe University. The face trcking experiment with highly noised images show that the object tracking method based on Fast Mean Shift has strong anti-jamming ability. A new fast color object detection technology based on characteristic color is established, which use characteristic color distribution to compute the characteristic color vector of any area in an image quickly. With the high performance search method, the fast object detection is achieved. At last, using object tracker based on Fast Mean Shift and color object detector based on characteristic color with the Kalman filter, PID controller, searial communication and other technologies, automatic object detection and tracking system with control system is built. The availability and anti-jamming ability of this system are verified by some object detection and tracking tests in different scenes.

本文对目标自动识别与跟踪进行了理论、计算、试验三方面的深入研究,主要包括:首次指出了目标跟踪技术中常用的均值迁移方法的本质为一种特殊的高斯-牛顿方法,改进了均值迁移方法步长取值保守的弱点,建立了快速均值迁移方法,证明了该方法的收敛性、有效性以及收敛速度优于均值迁移方法;进行了平面和3维随机分布数据集的最大概率密度搜索对比试验,试验结果表明,快速均值迁移方法大大减少了迭代次数;建立了基于快速均值迁移的目标跟踪方法,利用俄亥俄州立大学提供的乒乓球序列图像和卡斯鲁厄大学的汽车序列图像,对人脸和汽车目标跟踪性能分别进行了对比试验,并进行了高噪声人脸图像目标跟踪试验,结果表明,基于快速均值迁移的目标跟踪方法有效提高了目标跟踪性能,具有很强的抗干扰能力;建立了一种新型彩色目标自动识别方法,采用特征色彩分布函数实现了对任意图像区域特征色彩矢量的快速计算,建立了高效的搜索方法,实现了彩色目标的快速识别;将基于快速均值迁移方法的目标跟踪方法、基于特征色彩的目标识别方法与卡尔曼滤波、PID控制、串行通讯等技术结合,建立了带有控制系统的快速目标自动识别与跟踪系统,并在不同场景下进行了目标自动识别与跟踪试验,验证了快速目标自动识别与跟踪系统的有效性和抗干扰能力。

By measuring missile movement inertia with torsion pendulum, the influences of periodic measurement error, systemic damp, period of swing object and corporative period of t he measured object and swinging object were analyzed. The relation among measurement error of movement inertia, measureme nt period, the period of swing object,corporaˉ tive period of tested object and swing object was proved. The maxi mal ratio between movement inertia for swinging obˉ ject and the measured object under conditions of different errors w as given under typical measurement precision.

通过扭摆测量导弹转动惯量的方法,分析了周期测量误差、系统阻尼、摆动体周期以及被测件和摆动体共摆周期对转动惯量测量精度的影响,得出转动惯量测量误差和周期测量误差、摆动体摆动周期、被测件和摆动体共摆周期之间的关系,给出了在典型的测量精度要求,不同的周期测量误差情况下,摆动体转动惯量和被测件转动惯量之间的最大比值。

Firstly, a signalized point is stuck on a moving object to be tested, a microphone array and two video cameras are arranged, and the video cameras are demarcated to obtain a projection matrix; sound pressure signals of a sound source in the moving object to be tested are obtained by the microphone in an array mode, the dynamic video of the moving object to be tested is obtained and disassembled into an image by the video cameras; the signalized point on the moving object to be tested is identified in the video image and the matched signalized point is treated with three-dimension reconstruction to obtain the spatial location of the moving object to be tested; the sound pressure signals are treated with beam forming treatment to obtain a sound field characteristic function scattergram of the moving object to be tested, the video image is treated with spatial coordinate superposition frame by frame and restored into a dynamic video image.

首先在被测运动物体粘贴标志点,布置传声器阵列和两台摄像机,对摄像机进行标定,得到投影矩阵;传声器阵列获取被测运动物体中声源的声压信号,摄像机获取被测运动物体的动态视频,将动态视频拆解成图像;在视频图像中识别出被测运动物体上的标志点,对匹配后的标志点进行三维重构,获取被测运动物体的空间位置;对声压信号进行波束成型处理,得到被测运动物体的声场特征函数分布图,将其视频图像进行逐帧空间坐标叠加,并还原成动态视频图像。

If the specifier is not a reference, then the catch object is a copy of the exception object. If the catch object in an object of the base type and the exception object has derived type, then the exception object is sliced down ( Section 15.3.1, p. 577) to its base-class subobject.

如果异常说明符不是引用,则 catch 对象是异常对象的副本,如果 catch 对象是基类类型对象而异常对象是派生类型的,就将异常对象分割(第 15.3.1 节)为它的基类子对象。

1St, a small object (foil, slip of paper, paper and metal mix paper,), is hanging with the fine lace in airborne, uses separately the bamboo ware, the plank, the metal, the high pressure insulation material, the slip of paper, the soil block, the stone prime big object go to be hanging close when the airborne small object, discovered that the small object by the big object attraction, the object quality is been bigger, distance nearer attraction to be bigger, namely attraction function.

2.1.1、将一小物体(薄金属片、纸片、纸和金属混合纸、),用细线悬挂在空中,分别用竹制品、木板、金属、高压绝缘材料、纸片、土块、石头等大物体去接近悬挂在空中的小物体时,发现小物体被大物体吸引,物体质量越大、距离越近吸引力越大,即引力的作用。

Five class objects of geodetic data are determined. They are spatial datum object, point object, network object, intersection object and collection object. The object-oriented geodetic data model is established in the paper.

确定了5种大地测量数据的对象类,即空间基准对象、点对象、网对象、关联对象和集合对象,并以此建立了大地测量数据的对象模型。

You are my eternal sun, is my eternal female celestial, is my eternal love.

你是我永恒的太阳,是我永恒的仙女,是我永恒的爱)

Look the unseen bade him, the voice which now communicated with him who was the greatest of mankind, Septimus, lately taken from life to death, the Lord who had come to renew society, who lay like a coverlet, a snow blanket smitten only by the sun, for ever unwasted, suffering for ever, the scapegoat, the eternal sufferer, but he did not want it, he moaned, putting from him with a wave of his hand that eternal suffering, that eternal loneliness.

看着那些他所无视的东西,那声音现在在和他交流,他是人类中的一个优秀的个体, Septimus ,不久后将被夺去生命走向死亡,上帝前来让这个世界新陈代谢,不断更新,他躺在那里就像一条轻薄的被单,一条雪毯,只有太阳照耀着,永远都不浪费,永远遭受苦难,这个替罪羊,永久的受罪者,但是这一切并不是他所情愿经受的,他呻吟着, putting from him with a wave of his hand that eternal suffering ,那永远的孤独。

Dante, I think, committed a crude blunder when, with a terror-inspiring ingenuity, he placed above the gateway of his hell the inscription "I too was created by eternal love"—at any rate, there would be more justification for placing above the gateway to the Christian Paradise and its "eternal bliss" the inscription "I too was created by eternal hate "—provided a truth may be placed above the gateway to a lie!

我觉得但丁在这里犯了一个大错误,他凭着一种能唤起恐惧感的机灵在通往他的地狱的大门上写下了&我也是被永恒的爱创造的&,——不管怎么说,在通往基督教的天堂和&永恒的极乐&的大门上应当更有理由写上&我也是被永恒的仇恨创造的&,让真理站在通往谎言的大门上!

The elementary event semantic and the causality between parent object and son object are expressed in a form of"subject-predicate-object"as "Parent Object Identity -Event Identity -Son Object Identity ".

用"父亲对象标识码-引起变化的事件标识码-变化后的儿子对象标识码"这样一个"主语-谓语-宾语"的形式表达最基本的事件语义和父子对象之间的因果关系。

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他们的感情深刻而强烈,情绪善变。

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