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31767685SIFT_match_teaching_materials

于 2010-05-14 发布 文件大小:1597KB
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下载积分: 1 下载次数: 161

代码说明:

  sift算法的应用实例,对于做图像处理的初学者相当有用。(sift algorithm application example, image processing, for doing very useful for beginners.)

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  • pipei
    匹配算法,很好的程序,初学者好好学习研究(Matching algorithm, a very good program, beginners learn study)
    2010-09-20 10:48:36下载
    积分:1
  • cx_flatfading_jakes
    成型滤波器法仿真平坦衰落信道,功率谱密度为经典谱(Simulation of the shaping filter method flat fading channel, power spectral density for the classical spectrum)
    2012-07-08 23:12:53下载
    积分:1
  • 2
    Another matlab file for transporter seller progrramming, as before
    2013-07-29 21:33:30下载
    积分:1
  • FNN
    伪近邻法确定相空间重构嵌入维数,内涵已生成的典型混沌信号,可以直接使用。(Pseudo-neighbor method to determine the embedding dimension of phase space reconstruction, connotation typical chaotic signal generated can be used directly.)
    2014-12-16 11:06:17下载
    积分:1
  • zhixin
    说明:  可以求一个物体的质心,在获取物体图像后。希望大家多多交流(Can request an object centroid, after access to the object image. Hope that more exchanges)
    2010-04-16 11:18:17下载
    积分:1
  • shiyuzhuanpinyu
    这是一个滤波器,用来将时域信号转换位频域进行分析滤波后,再转为时域信号的小程序(This is a filter for converting the digital time domain signal analysis of the frequency domain filtering, a time domain signal of the small sub-program)
    2013-11-17 21:05:57下载
    积分:1
  • Transportation-Problem
    code of linear programing in matlab
    2013-12-29 05:03:49下载
    积分:1
  • Mtlab1rar
    MATLAB·各种命令都有,可随意查询。(MATLAB has a variety of command, are free to query.)
    2009-07-12 19:04:38下载
    积分:1
  • 02-EFI3CRLB
    Being able to place a lower bound on the variance of any unbiased estimator is very useful
    2014-12-30 18:07:02下载
    积分:1
  • Elman神经网络预测电力负载
    Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有,数据归一化处理、输入输出样本的选取、隐含层节点数的确定;分别建立Elman神经网络模型,并利用某栋建筑物实际历史电力负载数据进行预测,分析比较与实际数据值的预测精度,得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)
    2019-05-16 19:07:39下载
    积分:1
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