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tuxiangpipei

于 2020-12-10 发布 文件大小:306KB
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下载积分: 1 下载次数: 12

代码说明:

  一种基于特征点的图像匹配算法 一种基于特征点的图像匹配算法(Feature point based image matching algorithm based on feature points matching algorithm)

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  • huatesetu
    说明:  利用vc画图,特点是可以画一些有特殊效果的几何图像(use vc drawing, painting features can be some special effects of geometric images)
    2006-04-14 11:39:57下载
    积分:1
  • Vehicle_Detection_Recognition-master
    车型识别图像处理MATLAB代码可运行适合新手入门只用(car recognization adapted rookie study playplay)
    2018-01-09 22:14:19下载
    积分:1
  • ballalongline
    小球沿斜线运动,可以扩展到其他程序中,第一次上传,谢谢。(a ball along with a line.)
    2013-11-17 20:53:20下载
    积分:1
  • ImageHistogramEqualization
    说明:   vc代码,用于图像直方图均衡(以原始girl图像为测试图像) (vc code, for image histogram equalization (in the original girl image for the test images))
    2010-03-28 09:42:18下载
    积分:1
  • rm
    说明:  RM的编码过加性高斯白噪声信道(AWGN)后译码的C++ 实现程序,C语言产生高斯白噪声(RM of coded additive white Gaussian noise channel (AWGN) after decoding in C++ program, C language generated Gaussian white noise)
    2011-11-06 15:53:49下载
    积分:1
  • DLT
    基于visual c++平台,相机标定方法中的直接线性变换方法,即DLT方法(Based on visual c++ platform, camera calibration method of direct linear transformation method, namely DLT method)
    2013-09-05 16:34:56下载
    积分:1
  • SobelKirsch
    模式识别的Sobel和Kirsch边缘检测程序(Sobel and Kirsch edge detection algorithm of Pattern recognition)
    2010-11-26 16:43:14下载
    积分:1
  • AGAST-corner-detector
    多尺度快速角点检测算法(FAST).Adaptive and generic corner detection based on the accelerated segment test. 出处 Computer Vision–ECCV 2010(Multi-scale fast corner detection algorithm (FAST) Adaptive and generic corner detection based on the accelerated segment test. Computer Vision-ECCV 2010)
    2020-09-21 18:27:51下载
    积分:1
  • 1
    说明:  详细介绍了多普勒天气雷达系统建模与仿真应用 (Details of the Doppler Weather Radar System Modeling and Simulation Application)
    2010-08-22 10:19:49下载
    积分:1
  • NumberRecognize
    根据RBM深度网络(Hinton,2006)进行MINST手写文字的分类器的训练,利用训练得到的权值制作了这个小程序,通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别,但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)
    2013-10-17 15:55:34下载
    积分:1
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