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车道偏离识别的程序,采用的是动态规划算法,对弯道也有比较高的识别率-lane departure algorithm, which has good performance even for curve lane.
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对“data1.m”数据,分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器,分别画出决策面,并比较性能。-The "data1.m" data, respectively, using the perceptron algorithm, the least square error algorithm, the linear SVM algorithm design classifier, respectively, to draw the decision-making surf
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C++版的A*(A-star,即A星)算法。对于栅格数据的最优路径搜索有不俗的表现。集成到你的程序也很容易。里面有两个例子可供参考。-C++ version of A* (A-star A star) algorithm. Have good performance for the optimal path to the raster data search. Is also very easy to integrate into your program. There are two exa
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这是一个人脸识别演示/测试程序,用户可以基于程序中已经实现的算法,开发新的有关人脸识别的应用;也可以修改或添加新的算法,并测试其性能。-This is a face recognition demo/test program, the user can be based on the algorithm has been implemented in the program, the development of a new face recognition applications You
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基于纹理和边缘方向特征融合的目标跟踪程序代码,是基于mean shift框架的-This paper proposes a powerful and robust local descr iptor,called textureorientation
descr iptor(TOD). TOD consists of two components: texture and
orientation. Considering that the human shape shows more s
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A.Said和W.A.
pearlman根据Shapiro零树编码的基本思想,提出了一种新的且更优的实现方法--分层树集合分割(SPIHT),它是高效性能编码算法.这里给出了SPIHT程序及其改进后的程序.-A. Said and WA pearlman Shapiro zerotree coding based on the basic idea, a new and more excellent implementations- set partitioning in hierarchi
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vosm,作者JIAPEI,优化过的asm,aam模型,效果性能很好,算法清晰-the vosm, of JIAPEI optimized asm, aam the model, the effect of performance is very good, clear algorithm
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这是一个人脸识别演示/测试程序,用户可以基于程序中已经实现的算法,开发新的有关人脸识别的应用;也可以修改或添加新的算法,并测试其性能。-This is a face recognition demo/test program, the user can be based on the algorithm has been implemented in the program, the development of a new face recognition applications can
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压缩感知CS——采用小波变换进行稀疏表示,高斯随机矩阵为观测矩阵,重构算法为ILRS算法,对256*256的lena图处理,比较原图和IRLS算法在不同采样比例(0.74、0.5、0.3)下的重构效果,并各运行50次,比较算法性能PSNR和每次的运行时间-Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix
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压缩感知CS——采用小波变换进行稀疏表示,高斯随机矩阵为观测矩阵,重构算法为OMP算法,对256*256的lena图处理,比较原图和OMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果,并各运行50次,比较算法性能PSNR和每次的运行时间
-Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix
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压缩感知CS——采用小波变换进行稀疏表示,高斯随机矩阵为观测矩阵,重构算法为SP算法,对256*256的lena图处理,比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果,并各运行50次,比较算法性能PSNR和每次的运行时间-Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and
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压缩感知CS——采用小波变换进行稀疏表示,高斯随机矩阵为观测矩阵,重构算法为ROMP算法,对256*256的lena图处理,比较原图和ROMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果,并各运行50次,比较算法性能PSNR和每次的运行时间
-Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matr
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压缩感知CS——采用小波变换进行稀疏表示,高斯随机矩阵为观测矩阵,重构算法为SL0算法,对256*256的lena图处理,比较原图和SL0算法在不同采样比例(0.74、0.5、0.3)下的重构效果,并各运行50次,比较算法性能PSNR和每次的运行时间
-Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix
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改进的蚁群算法 用于提取轮廓 可以和sobel等传统算法比较 有较好的性能 本人已经运行过-Improved ant colony algorithm for extracting contours and sobel traditional algorithm I have run a better performance
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对朴素贝叶斯算法的进一步改进。朴素贝叶斯分类器是一种简单而高效的分类器,但是它的属性独立性假设使其无法表示现实世界属性之间的依赖关系,以及它的被动学习策略,影响了它的分类性能。本文从不同的角度出发,讨论并分析了三种改进朴素贝叶斯分类性能的方法。为进一步的研究打下坚实的基础-Naive Bayes algorithm further improved. Naive Bayes classifier is a simple and efficient classifier, but its attr
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我们提出一个新的方法,方法噪声,用来估计和比较数字图像去噪方法的表现。我们首先对一个广泛的去噪算法类计算和分析方法噪声,称之为局部平滑滤波。其次,我们提出一种新的基于图像中所有像素的非局部平均的算法,非局部平均(NL-means)。最后,我们展示几组实验比较非局部平均算法和局部平滑滤波算法。-We propose a new method for noise method used to estimate the performance of digital image denoising me
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通过在线PCA来识别手势,并能对新增手势做一定的增量,很好的实现了增量学习。算法具有效率高,识别率好,速度快等特点,同样适合其他模式识别方面的应用。-The learning method for hand gesture recognition system based on vision is commonly off-line,which results in repeated off-line learning when new hand gestures come. Its real-
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关键点检测和描述算法,surf算法的opencv的源码,surf算法的性能与sift相当,但速度要远大于sift算法,经过测试可以正常运行-Keypoint detection and descr iption algorithm, algorithm source code at the Surf, surf the performance of the algorithm and sift quite, but the speed is much larger than sift algor
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基于 QT 的面向对象的多平台计算机视觉库。可以方便的创建图形化应用程序,算法库主要从 OpenCV,GSL,CGAL,IPP,Octave 等高性能库借鉴而来。-Based on the QT object-oriented multi-platform computer vision library. You can easily create graphical applications, the algorithm library from the high performance li
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给出一种以核共生矩阵为跟踪特征的均值移动跟踪算法meanshift算法 -The performance of visual target tracking algorithm using color histograms as tracking cues is always affected by illumination, visual angle and camera parameters.
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