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siftDemoV4
说明： lowe论文的sift算法的MATLAB源代码(MATLAB source code of sift algorithm for lowe paper)
- 2019-06-12 10:11:30下载
- 积分：1
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二维高斯滤波matlab
此程序是应用于图形图像处理，基于matlab软件的二维高斯滤波算法实现。(This program is applied to graphics and image processing, based on MATLAB software two-dimensional Gauss filtering algorithm.)
- 2020-06-29 09:00:02下载
- 积分：1
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inverse
O(n*logn)时间内的求逆序的算法控制台程序，算法实现效率较高。可迅速求出随即生成的数字的逆序数(O (n* logn) time algorithm for reverse console process, algorithm more efficient. Can be generated quickly obtained immediately reverse digit number)
- 2008-07-11 21:33:10下载
- 积分：1
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3d
说明： 机器视觉中三维重建的源码
具体包括4个文件，其中.c文件用于产生图像特征点矩阵(In the three-dimensional reconstruction process, resulting in the source image feature dot matrix)
- 2010-01-26 02:50:11下载
- 积分：1
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compared
对比BP，OMP，StOMP对自然图像的重构效果,输入图像是一幅256*256的lena图像，我们使用压缩采样后，再用上述三种方法对其进行重构，比较其结果，其中StOMP方法是用不同的阈值(Contrast to BP, OMP, StOMP effect on the reconstruction of natural images, input image is a 256* 256 lena image, we use the compressed sampled, and then reconstruct them the above-mentioned three methods to compare their results, which StOMP method is to use different thresholds)
- 2021-03-08 21:59:28下载
- 积分：1
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NewFeaturesOfOpenCV2.1
脸部特征提取，特征点提取、划分特征点区域，这是在中医面诊课题中用到的代码(Facial feature extraction, feature extraction, feature points divided region)
- 2020-08-17 14:08:22下载
- 积分：1
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PCA
主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)
- 2021-01-28 21:48:40下载
- 积分：1
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targettrackingusingkalman
说明： 采用kalman滤波器进行目标跟踪的源代码(object tracking using kalman filter)
- 2009-08-09 19:39:29下载
- 积分：1
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receiver
一个LED大屏幕接收卡的完整设计工程,有需要学习LED大屏幕控制的朋友可以参考
- 2010-02-28 12:18:21下载
- 积分：1
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renxiang
对有噪声的图像进行图像复原，通过迭代算法实现此功能(Image restoration for noisy images, this function is implemented by an iterative algorithm)
- 2020-06-18 18:00:01下载
- 积分：1
