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Description: 在已知道立体视觉中左右两幅图像对应点的前提下，用pbM求解基本矩阵（F Matrix）-know the three-dimensional visual images around two corresponding points on the premise that pbM used for the basic matrix (F Matrix)
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Size: 6121 |
Author: qj |
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Description: 24種解F矩陣的方法,可以用來處理匹配點和重建3D環境-24 F matrix solution methods can be used to handle match point and 3D reconstruction of the environment
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Size: 48762 |
Author: 許不了 |
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Description: 三维重建中,利用PDM算法求F matrix
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Size: 15889 |
Author: autumn |
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Description: 在已知道立体视觉中左右两幅图像对应点的前提下，用pbM求解基本矩阵（F Matrix）-know the three-dimensional visual images around two corresponding points on the premise that pbM used for the basic matrix (F Matrix)
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Size: 6144 |
Author: qj |
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Description: fortran CG-FFT程序
Conjugate gradient package for solving complex matrix equations
-fortran CG-FFT procedures Conjugate gradient pack age for solving complex matrix equations
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Size: 21504 |
Author: dui |
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Description: 24種解F矩陣的方法,可以用來處理匹配點和重建3D環境-24 F matrix solution methods can be used to handle match point and 3D reconstruction of the environment
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Size: 48128 |
Author: 許不了 |
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Description: 三维重建中,利用PDM算法求F matrix-Three-dimensional reconstruction, the use of PDM algorithm for F matrix
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Size: 65536 |
Author: autumn |
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Description: 三维重构的程序，包括角点检测，匹配，F矩阵的计算等-Three-dimensional reconstruction procedures, including corner detection, matching, F matrix calculation
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Size: 2158592 |
Author: xing |
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Description: 通过引入与余差有关的代价函数,给出了一种高精度估计基础矩阵的线性算法——加权平移算法.首先
将原始输入数据加权,计算加权后数据的重心坐标,将坐标原点平移到该重心坐标,再作归一化处理.然后用8点
算法求出基础矩阵F阵的8个参数,实现了F阵的高精度估计.实验结果表明,此算法具有良好的鲁棒性,且余差
和对极距离都小于其他线性算法,提高了基础矩阵的精度. -Through the introduction of residual error associated with the cost function, gives a high-precision estimates based on linear matrix algorithm- weighted translation algorithm. First of all, the original input data weighted to calculate the weighted center of gravity after the data coordinates, will be moved to the coordinates origin Ping The center of gravity coordinates, re-normalized. and then use the 8 point algorithm to derive the fundamental matrix F array eight parameters, the achievement of the F array of high-precision estimates. The experimental results show that this algorithm has good robustness, and residual error and the distance is less than most other linear algorithms, improve the accuracy of the fundamental matrix.
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Size: 144384 |
Author: 马睿 |
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Description: 查看24*24点阵字库中每个字符的点的分布,文档包括设计说明和相关测试字库和全部源代码-See 24* 24 dot matrix font for each character
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Size: 6467584 |
Author: duanruian |
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Description: 三维科学图形包括三维网线图形；三维线状图形；三维坐标设置；填充网状图形；填充颜色的层数；颜色分层的数值条；向顶部和底部投影；边框设置；背景颜色设置；实体图形；等高线图形。给定zij=f(xi,yj)离散数据点，三维图形控件可以绘制出各种精美的图形。三维 图形控件包含的文件有：mesh45.ocx，olch3d32.dll，meshxyz.dll。-Three-dimensional graphics, including three-dimensional network of scientific line graphics linear three-dimensional graphics three-dimensional coordinates set filled mesh graphics fill color layers color layering Numerical Article to the top and bottom of the projector border settings background color settings graphical entities contour graphics. Given zij = f (xi, yj) of discrete data points, three-dimensional graphics can control a variety of beautifully drawn graphics. Three-dimensional graphical controls contained in the documents: mesh45.ocx, olch3d32.dll, meshxyz.dll.
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Size: 270336 |
Author: 栾天观 |
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Description: 一个基于GTK+的单词数值计算器，1、 按照规则计算单词的值，如果 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 26个字母（全部用大写）的值分别为 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26，如：
WINJACK这个单词的值就为：W+I+N+J+A+C+K=23+9+14+1+3+11=71％
HARDWORK=H+A+R+D+W+O+R+D=8+1+18+4+23+15+18+11=98％
LOVE=L+O+V+E=12+15+22+5=54％
LUCK=L+U+C+K=12+21+3+11=47％
ATTITUDE= A+T+T+I+T+U+D+E=1+20+20+9+20+24+4+5=100％
2、对程序的界面布局参考如下图所示，在第一个单行文本框输入一个单词，点击“计算”按钮，按照以上算法计算出该单词的值。
3、如果在最下面的单行文本框输入一个文件路径，此文件每行记录一个单词，那么经过程序计算出各个单词的值，并把结果输出到当前目录下result.txt文件中。如果文件不存在，应该提示错误。
-err
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Size: 1024 |
Author: 翔 |
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Description: 题目1：图的建立与遍历；连通网的最小生成树生成实现。
内容：
1） 用邻接表表示方法建立图1所示图的存储结构，用邻接矩阵存表示方法建立图2所示网的存储结构。
2） 在图1 存储结构（邻接表）上实现深度优先搜索遍历和广度优先搜索遍历，并给出遍历结果（序列）。
3） 按照普里姆算法，在图2所示连通网的存储结构（邻接矩阵）上实现此网的最小生成树，并输出生成树。
-Title 1: Map of the establishment and ergodicity connectivity network to achieve minimum spanning tree generated. Content: 1) that the methods used to establish the adjacent table shown in Figure 1 Figure storage structure, said depositors with adjacency matrix method as shown in Figure 2 network storage structure. 2) In Figure 1 storage structure (adjacency list) to achieve depth-first search traversal and breadth-first search traversal, and gives Ergodic results (sequence). 3) in accordance with the prim algorithm, as shown in Figure 2-connected network storage structure (adjacency matrix) to achieve this network, minimum spanning tree and spanning tree output.
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Size: 11264 |
Author: sad |
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Description: Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps.
-MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast.
MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact.
NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements.
NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.
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Size: 100352 |
Author: 王平 |
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Description: Atmega64单片机程序（完整工程），包含SD HOST的驱动、FAT（使用ZLG的FAT），点阵的液晶屏显示驱动，带演示和测试菜单-Singlechip Atmega64 procedures (complete works), including SD HOST driver, FAT (use ZLG the FAT), dot-matrix LCD display driver, with demo and test the menu
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Size: 746496 |
Author: 费利克斯雷 |
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Description: function [clusters,c,F]=fisher_classify(A,B,data)
fisher判别法程序
输入A、B为已知类别样本的样本-变量矩阵，data为待分类样本
输出C为判别系数向量
-function [clusters, c, F] = fisher_classify (A, B, data) fisher discriminant method procedures input A, B for a sample of known types of samples- variable matrix, data to be classified as output samples for discriminant coefficient vector C
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Size: 1024 |
Author: 王晶 |
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Description: 三维重建中利用PDM算法求F matrix-Three-dimensional reconstruction algorithm for the use of PDM for F matrix
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Size: 16384 |
Author: 任冉冉 |
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Description: 根据计算机视觉的基本理论，通过摄像机自标定的方法得到基本矩阵F，再利用特征提取的方法将物体上的关键点映射到三维空间，并转换到欧式坐标系下，从而得到物体运动过程中的六自由度分量。-According to the basic theory of computer vision, through the camera self-calibration method to be the fundamental matrix F, re-use feature extraction methods on the object key is mapped to three-dimensional space, and converted to the European coordinate system, resulting in movement of objects during six degrees of freedom components.
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Size: 1623040 |
Author: zhurui |
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Description: 摄影测量学中 关于基本矩阵的计算求解 这是联系空间坐标和图像坐标的关键-Photographic surveying basic matrix calculation on solving this is to contact the spatial coordinates and the image coordinates of the key
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Size: 1627136 |
Author: 小小 |
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Description: Matrix Computation about the QR decomposition method
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Size: 11676672 |
Author: kiang
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