Description: VC++与Matlab编程实现对遥感卫星获取得到的二维大地影像三维效果显示的方法.rar -VC and Matlab programming of remote sensing satellites for the two-dimensional geodetic 3D imaging results show that the methods. rarVC and Matlab programming of remote sensing satellites for the two-dimensional images of 3D earth marked effect show method. rar Platform: |
Size: 9611 |
Author:panzhi |
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Description: VC++与Matlab编程实现对遥感卫星获取得到的二维大地影像三维效果显示的方法.rar -VC and Matlab programming of remote sensing satellites for the two-dimensional geodetic 3D imaging results show that the methods. rarVC and Matlab programming of remote sensing satellites for the two-dimensional images of 3D earth marked effect show method. rar Platform: |
Size: 9216 |
Author:panzhi |
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Description: 利用透镜成像理论建立摄像机数学模型,
提出了一种线性求解摄像机内外参数的方法。该方
法特点是采用主动发光的光点阵列标定靶,利用2D
标定靶的精确移动来实现基于3D 立体靶标的摄像
机标定的算法。-Lens imaging theory using mathematical models set up the camera, a camera inside and outside the parameters for solving linear approach. The method is characterized by active light-emitting points of light array calibration target, the use of 2D calibration target to achieve the precise mobile target based on stereo 3D camera calibration algorithms. Platform: |
Size: 121856 |
Author:刘镖峰 |
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Description: 实现MRI的仿真,包括2D、3D成像和自行设计的成像方针过程。用Matlab的用户交互界面GUI设计,使代码的可读性提高。-Realize the MRI simulation, including 2 D, 3 D imaging and the self-developed imaging policy process. Matlab user interface GUI design, improve the readability of the code. Platform: |
Size: 3998720 |
Author:万敏 |
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Description: 创建一个n维的稀疏数组对象,n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而,它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说,稀疏的数据,首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上,如果目标数组的尺寸mxnxp……yxz,然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸(M×N×P×……×Y)XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测,你经常要举行一个稀疏的3D的边缘地图。-Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map.
Platform: |
Size: 23552 |
Author:刘亮 |
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Description: CT成像:基于卷积算法的matlab的CT图像重建算法 geant4三维建模导入:基于c++语言导入geant4 两个qt学习资料-CT imaging: convolution algorithm based on the CT image reconstruction algorithm geant4 3D modeling import: Based on the c language to import geant4 two qt learning materials Platform: |
Size: 8382464 |
Author:高乐 |
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Description: 不同均值的正态分布在matlab的三维图成像。(The normal distribution of different mean values in MATLAB 3D imaging.) Platform: |
Size: 23552 |
Author:liangtian
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