物体

基本解释 (translations)

object  ·  objects  ·  objected  ·  objecting  ·  obj.  ·  substances

与物体相关的网络例句 [注：此内容来源于网络，仅供参考]

Because of the cragginess of the 3-D surface, the distortion stripes appear when the common rectangular grating or sine grating is projected onto the object surface, which includes information about the 3-D surface profilometry. The images including distortion stripes are taken by CCD camera. The 2-D stripes information is got after processing these images. On the basis of mathematic reconstruction model and arithmetic, the 3-D surface profilometry data are gotten.

用普通白光将矩形光栅或者正弦光栅投影于被测物体表面上，由于物体外形凹凸等几何形状变化而在物体表面产生畸变条纹，这些畸变条纹就包含了物体表面形状的三维信息，由CCD摄像头摄取这些畸变条纹信息，对这些图像进行相应的处理，得到有关条纹中心线的二维信息，然后再根据相应的数学转换模型和重构算法对物体的轮廓进行重构，就可以得到被测物体表面的三维外形数据信息。

Because of the cragginess of the 3-Dsurface, the distortion stripes appear when the common rectangular grating or sine grating is projected onto the object surface, which includes information about the 3-Dsurface profilometry. The images including distortion stripes are taken by CCD camera. The 2-D stripes information is got after processing these images. On the basis of mathematic reconstruction model and arithmetic , the 3-D surface profilometry data are gotten.

用普通白光将矩形光栅或者正弦光栅投影于被测物体表面上，由于物体外形凹凸等几何形状变化而在物体表面产生畸变条纹，这些畸变条纹就包含了物体表面形状的三维信息，由CCD摄像头摄取这些畸变条纹信息，对这些图像进行相应的处理，得到有关条纹中心线的二维信息，然后再根据相应的数学转换模型和重构算法对物体的轮廓进行重构，就可以得到被测物体表面的三维外形数据信息。

In this thesis, we implement a computational procedure to categorize and classify 3-D objects from their contour under a simple environment. First, we use foreground detection, Canny edge detection and speedy GVF snake to obtain the object's contour. The contour is then used to establish the object's features. Two databases are built using methods which compute similarity by modified aspect-combination algorithm proposed by Cyr and Kimia and new proposed aspect-combination algorithm. By using these two databases, we recognize 3-D objects using four recognition methods and compare their performance. Finally, a conclusion is made that our newly proposed algorithm is better than the modified algorithm proposed by Cyr and Kimia.

在本论文中，对一个在单纯环境下的三维物体，由撷取到辨识出此物体做了一个完整的实现，首先，利用前景侦测结合肯尼边缘侦测法和加速的梯度向量流动态轮廓侦测法，来得到物体轮廓，接著利用此轮廓找寻出物体的特徵，然后配合计算相似度的方法，代入修改后的Cyr and Kimia的外观结合演算法（aspect-combination algorithm）和新提出的外观结合演算法去建资料库，然后，对於三维物体则依据两种不同方法所建出的资料库，利用四种辨识的方法来辨识并比较其结果，最后得出新提出的外观结合演算法是优於修改后的Cyr and Kimia的外观结合演算法的结论。

The difficulty of the task in chopstick-using test has changed with thepicked-objects changing its size,shape and text.In general,middle size is theeasiest one,the wooden-text is much easier than the beans,the cube is easier thanthe ball,and the hyacinth bean is the hardest one for all the subjects.

不同的任务情境对个体的技能表现有明显的影响，被挟取物体的大小、形状、质地构成了不同的任务难度，对被试来说：中等大小的物体最为容易，质地为木质的物体比豆类物体容易，而形状为方块的物体比圆球、扁豆形状容易，扁豆形的物体最难。

Newton's second law of motion describes force. It says force equals the mass of an object, multiplied by the change in speed it produces in an object.

第二定律：F=ma，物体上的外力=物体质量*加速度，就是说物体的加速度，与施加在该物体上的外力成正比，定义了物体的质量就是物体惯性大小的量度。

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。

By the data in the images from the two frequency grating projector , the absolute phase at each pixel is then unwrapped by comparing the two wrapped phases and it is suit for the great craggedness of the measurement object.

在光学投影栅线法测量物体三维轮廓理论的基础上，本文提出了双频投影栅线法物体轮廓测量技术，通过两种不同频率的光栅投影图，能够直接得到包含物体高度信息的绝对相位值，能够实现具有陡峭边沿物体的测量，实验结果表明，利用该方法能够显著提高物体轮廓测量精度。

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。

In this project, we propose a novel 3D morphing technique that avoids creating a merged embedding that contains the faces, edges and vertices of two given embeddings. This novel 3D morphing technique dynamically adds or removes vertices to gradually transform the connectivity of 3D polyhedrons from a source model into a target model and simultaneously creates the intermediate shapes.

中文摘要在本专题研究计画中，我们提出一项新的三维物体变形技术，此变形技术所能处理的资料型态为two-manifold 之三维网格物体，此技术不需产生一个共有的高复杂度的网格物体或对原始物体进行重新网格化以产生相同连接关系，取而代之的是直接进行来源与目的物体之间几何与连接结构之转换，我们称此项新技术称为渐进式连接结构之转换(progressive connectivity transformation)，此技术藉由动态增加或移除顶点的方式从来源物体到目的物体逐渐地进行连接结构转换同时使用线性位置内差来产生一序列中间物体。

In this project, we propose a novel 3D morphing technique that avoids creating a merged embedding that contains the faces, edges and vertices of two given embeddings. This novel 3D morphing technique dynamically adds or removes vertices to gradually transform the connectivity of 3D polyhedrons from a source model into a target model and simultaneously creates the intermediate shapes.

在本专题研究计画中，我们提出一项新的三维物体变形技术，此变形技术所能处理的资料型态为two-manifold 之三维网格物体，此技术不需产生一个共有的高复杂度的网格物体或对原始物体进行重新网格化以产生相同连接关系，取而代之的是直接进行来源与目的物体之间几何与连接结构之转换，我们称此项新技术称为渐进式连接结构之转换(progressive connectivity transformation)，此技术藉由动态增加或移除顶点的方式从来源物体到目的物体逐渐地进行连接结构转换同时使用线性位置内差来产生一序列中间物体。

与物体相关的网络解释 [注：此内容来源于网络，仅供参考]

Select Ancestor：(选择当前物体的父物体)

Select All(全选) CTRL+A | Select Ancestor(选择当前物体的父物体) PAGE UP | Select Child(选择当前物体的子物体) PAGE DOWN

Select Ancestor：(拔取方今物体的父物体)

Select All(全选) CTRL+A | Select Ancestor(拔取方今物体的父物体) PAGE UP | Select Child(拔取方今物体的子物体) PAGE DOWN

Attachment Constraint：(附件约束)可将某物体作为附件以相对位置绑定在其他物体表面上并随其他物体变化

. Constraints(约束):该命令共七个子菜... | . Attachment Constraint(附件约束)可将某物体作为附件以相对位置绑定在其他物体表面上并随其他物体变化. | . Surface Constraint(表面约束)将一个物体沿着另一物体的表面...

Select Child：(选择当前物体的子物体)

Select Ancestor(选择当前物体的父物体) PAGE UP | Select Child(选择当前物体的子物体) PAGE DOWN | Select Invert(反选) CTRL+I

Select Child：(拔取方今物体的子物体)

Select Ancestor(拔取方今物体的父物体) PAGE UP | Select Child(拔取方今物体的子物体) PAGE DOWN | Select Invert(反选) CTRL+I

Link Constraint：(连结约束)用来控制一个物体通过目标物体与另一个物体连接的动作

. Position Constraint(位置约束)使一个物体跟随另一个物体或锁定在数... | . Link Constraint(连结约束)用来控制一个物体通过目标物体与另一个物体连接的动作. | . LookAt Constraint(视觉跟随约束)定义某物体始终指...

LookAt Constraint：(视觉跟随约束)定义某物体始终指向另一物体

. Link Constraint(连结约束)用来控制一个物体通过目标物体与另一个... | . LookAt Constraint(视觉跟随约束)定义某物体始终指向另一物体. | . Orientation Constraint(方位约束)指定物体的方位与另一物体的方位一致....

Orientation Constraint：(方位约束)指定物体的方位与另一物体的方位一致. 物体应该是可旋转的

. LookAt Constraint(视觉跟随约束)定义某物体始终指向另... | . Orientation Constraint(方位约束)指定物体的方位与另一物体的方位一致. 物体应该是可旋转的. | . Transform Controllers(变换控制):该命令共三个子菜...

Path Constraint：(路径约束)指定物体沿着或在样条线间运动

. Surface Constraint(表面约束)将一个物体沿着另一物体的表面指定相... | . Path Constraint(路径约束)指定物体沿着或在样条线间运动. | . Position Constraint(位置约束)使一个物体跟随另一个物体或锁定在数个物体间...

source object：源物体

1 任何物体现在使用新的光源物体(Source Object)可以作为光源. 光线会以变化的角度分布从物体表面发射,包括Lambertian. 更多资料查看this Knowledge Base article部分. 3 任何物体可以使用新的阵列物体(Array object)被转化成一个相同物体组成的阵列.